Master of Computer Applications · Y26 Curriculum · KL University

A graduate computer applications
program built for 2026.

A two-year postgraduate program with 20 core courses, 5 specialization tracks, and 4 professional electives per student. The core layers full-stack, AI/ML, GenAI, agentic AI, MLOps, cloud-native, cybersecurity, and Web3 as mandatory ground for every graduate. Specialization adds depth.

2 Years
90cr Credits · AICTE
20 Core Courses
5 PE Tracks
2 Delivery Modes
1 Capstone Project
01 / Design

Three principles
that shape every credit.

A graduate computer applications program targeting 2026 hiring. The structure is engineered backward from where MCA students will be placed: full-stack engineers who ship AI-native applications, agentic AI builders, cloud-native platform developers, and security-aware product engineers.

01
Full-stack × GenAI is the new baseline.

Every MCA graduate ships AI-native applications. The core layers Python, FastAPI/Flask/Django + React, PostgreSQL/MongoDB into Full Stack I & II, then folds GenAI APIs and Agentic AI directly into full-stack contexts via dedicated platform-engineering courses. There is no GenAI stream — it is the floor.

02
Specialization adds depth, never repeats core.

The core covers AI/ML, DL/LLM/RAG, GenAI Platform, Agentic AI + MCP, MLOps, Cloud DevOps, Offensive/Defensive Security, DevSecOps, Blockchain, and Web3 for every student. The 5 PE tracks go deeper or lateral — never replicate. Conversational AI, SRE, Threat Hunting, DeFi, Causal Analytics: depth, not redundancy.

03
PBL runs one catalog on a project-first trimester calendar.

Twenty-four academic items run in PBL trimester mode — 6 trimesters of 4 courses (with T5/T6 expanded to 5 including Capstone I & II), plus a summer industry internship between Y1 and Y2. Uniform prerequisite spine and outcome mapping. Every graduate ships four professional-elective courses drawn from any of the five specialisation tracks.

Core is the floor for every graduate. Specialization is the ceiling, chosen by the student. Both deepen with the same prerequisite spine.
02 / Foundations

Vision, Mission, PEOs
and Program Outcomes.

The strategic foundations that shape every course, every project, and every graduate. Vision anchors the long horizon; Mission Statements operationalise it into three pillars. Program Educational Objectives (PEOs) describe what graduates should be doing 3–5 years after leaving KLEF, and Program Outcomes (POs) specify the graduate attributes attained by the end of the programme.

Vision

To impart high-quality computing skills aligned with global industry requirements.

Mission Statements
M1

Impart comprehensive computing skills catering to the emerging societal needs.

M2

Focus on the all-round development of students through extension, innovation and research.

M3

Instil social responsibility with intrinsic values.

Program Educational Objectives (PEOs)

Broad career and professional goals every graduate will demonstrably attain within 3–5 years of graduation.

PEO1
The Graduate will exhibit a great sense of leadership with competent knowledge, innovation and creativity in their field of specialization.
PEO2
The Graduate will demonstrate professionalism and remain adaptable to evolving technologies and industry trends.
PEO ↔ Mission Statement Articulation

Level of articulation: H=High (3) · M=Medium (2) · L=Low (1).

PEO M1
Comprehensive computing skills
M2
All-round development
M3
Social responsibility
Avg
PEO1 H H M 2.67
PEO2 H H H 3.00
Avg 3.00 3.00 2.50 2.83
Program Outcomes (POs)

Graduate attributes attained by the end of the programme — six outcomes covering computational knowledge, analytical rigour, engineering design, tool usage, project management & communication, and lifelong ethical practice.

PO1
Computational Knowledge: Acquire knowledge of advanced programming practices, computing skills, and domain knowledge for developing application software to solve real-world problems.
PO2
Problem Analysis: Ability to critically analyze real-world and domain-specific computing problems using advanced theoretical and practical knowledge, and propose optimized solutions using research-based approaches.
PO3
Design and Development: Design and develop efficient solutions for complex problems across different domains while adhering to ethical and professional standards.
PO4
Modern Tool Usage: Create, select, adapt, and apply appropriate techniques, resources, and modern IT tools to solve complex computing problems.
PO5
Project Management & Communication: Demonstrate knowledge of project management principles, interpersonal skills, and effective communication within a team to deliver solutions and operational procedures with ethical responsibility.
PO6
Lifelong Learning & Ethics: Demonstrate a commitment to continuous learning and professional development by keeping pace with emerging technologies, while upholding ethical standards and fulfilling societal responsibilities in the field of computing.
03 / Regulations

Academic regulations
governing the MCA programme.

KLEF Y26 MCA regulations verbatim in essence — admission, registration, credit structure, assessment, grading, attendance, betterment, credit transfer, counselling, malpractice penalties and grievance redressal. Delivered entirely through Project-Based Learning in trimester mode under CBCS and OBE.

§ 01

Preamble

These regulations govern the MCA program at KLEF (Koneru Lakshmaiah Education Foundation), delivered entirely through Project-Based Learning (PBL) in trimester mode under the Choice-Based Credit System and Outcome-Based Education framework.

§ 02

Admission Eligibility

  • Bachelor's Degree in the relevant discipline with a minimum of 60% aggregate marks (or equivalent CGPA).
§ 03

Program Structure & Curriculum

For each academic program, the curriculum specifies the credits, course category, codes, titles and delivery methods (Lectures, Tutorials, Practice, Skills, Projects, Self-Study, Capstone Design, etc.) under the Choice-Based Credit System (CBCS), designed, implemented and assessed under the Outcome-Based Education (OBE) framework. Indian Knowledge Systems (IKS), the UN Sustainable Development Goals (SDGs) and Design-Thinking principles are embedded into courses from their inception.

  • Each academic year consists of three trimesters; each trimester is approximately 12–13 weeks including classwork and examinations.
  • Students choose courses as prescribed by KLEF; every course carries a Lecture–Tutorial–Practice–Skill (L-T-P-S) component.
§ 04

Academic Calendar

  • Trimester-1: July to October.
  • Trimester-2: November to February.
  • Trimester-3: February to May.
  • A Summer Term may be offered from May to June but is not counted toward program duration.
§ 05

Credit Structure (L-T-P-S)

Credits are allocated based on the L-T-P-S structure. The MCA program is delivered entirely through Project-Based Learning (PBL) in trimester mode.

  • Every 1.5 Lecture or Tutorial hours = 1 credit.
  • Every 3 Practical hours = 1 credit.
  • Every 6 Skill-based practice hours = 1 credit.
§ 06

Course Precedence (Prerequisites)

  • A course may have one or more preceding course(s) as prerequisite(s).
  • To register for a course, the student must have been promoted in the course(s) earmarked as its prerequisite(s).
§ 07

Registration Process

  • Course availability: students may register only for courses offered in the trimester of enrollment.
  • Prerequisites must be successfully completed before registering for subsequent courses.
  • Timely registration: students must register on the designated registration day; KLEF may deny late registrations.
  • Add/Drop/Change: one week from the start of classes to add a course, and two weeks to drop or change courses.
  • Credit limits: recommended load 14–16 credits per trimester; maximum 20 credits per trimester.
  • Deceleration: a student finding the standard load overwhelming may take fewer courses now and make up credits in a future summer term.
  • Elective availability: electives with low enrollment may be cancelled within the first week; students may switch to another elective if they meet its prerequisites.
  • Re-registration: to improve a grade, a student may re-register for a course with approval of the Dean (Academics).
  • Registration cancellation: KLEF may cancel a student's registration for disciplinary reasons or plagiarism.
  • Timetable clashes: students must resolve conflicts by contacting their Department Year Coordinator immediately.
  • Irregularities: if irregularities are found later, KLEF may cancel the registration for a course or the entire trimester.
§ 08

Registration Flexibilities

  • Choice of electives: students may choose from a diverse set of electives aligned with their interests or career objectives.
  • Choice of faculty: where a course runs in multiple sections, students may choose their preferred faculty, subject to departmental policy and availability.
  • Acceleration & overloading: students may take courses from the next trimester in advance, or take more than the standard credits, with prior permission of the Dean (Academics).
  • Deceleration & underloading: students may postpone courses to a later trimester or take fewer credits; permission must be sought from the Office of the Dean (Academics).
§ 09

Summer Term Registration

The Summer Term helps students catch up or get ahead.

  • Eligibility: students with backlogs to clear, prerequisites to fulfil, or approved acceleration.
  • Credit limit: the maximum load for the summer term is 12 credits.
  • Timetable clashes must be avoided in the summer schedule.
  • Attendance & promotion policies apply as usual, except that attendance condonation is not available in the summer.
§ 10

Course Categories

  • Humanities, Arts & Social Sciences (HAS): Courses that develop students' understanding of human values, society, culture, communication, ethics, and interdisciplinary perspectives, thereby fostering holistic development and broader intellectual and social awareness.
  • Professional Core Courses (PCC): essential discipline courses providing foundational knowledge and core competencies.
  • Professional Elective Courses (PEC): specialization courses allowing in-depth focus on advanced topics aligned with career goals.
  • Project, Research & Internship (PRI): research projects and internships giving real-world, practical, problem-solving experience.
  • Value-Added Courses (VAC): training leading to globally recognized certifications or specialized employability skills.
  • Audit Course (AUC): attended without a formal grade or credit toward the degree, for enrichment or breadth.
§ 11

Requirements for Award of Degree

To be eligible for the award of the MCA degree, a student must fulfil all of the following:

  • Earn the minimum credits specified in the program structure.
  • Undertake focused training in a chosen career track: (a) Employment in MNCs, (b) Civil Services, (c) Higher Studies, (d) Research, (e) Entrepreneurship.
  • Complete at least one global certification or value-added course in the discipline.
  • Successfully complete all audit courses in the program structure.
  • Achieve a minimum CGPA of 5.5 by the end of the program.
  • Students with extra courses carrying 'DT' or 'F' grades may still graduate if all other requirements are met; such courses are factored into the CGPA.
  • Complete all requirements within a minimum of 6 trimesters (excluding summer terms) and a maximum of 4 years.
§ 12

Academic Bank of Credits (ABC)

  • The ABC lets students digitally store academic credits earned at any ABC-registered higher-education institution, toward a Certificate/Diploma/Degree/Honors.
  • All credits are stored digitally by registering in the ABC portal, which supports retaining credits for a shelf period and continuing with multiple break-overs.
  • A student may exit the program (preferably not mid-year) and resume later.
  • A student unable to complete within the maximum duration may be issued a Certificate, Diploma, Degree or Honors based on credits acquired, for all UGC-approved programs.
§ 13

Award of Class

  • Pass Class: CGPA ≥ 5.50 and < 5.75.
  • Second Class: CGPA ≥ 5.75 and < 6.75.
  • First Class: CGPA ≥ 6.75 and < 7.75.
  • First Class with Distinction: CGPA ≥ 7.75, provided all courses are cleared in the first attempt and all requirements are met within the program's minimum duration.
§ 14

Award of Medals

KLEF awards Gold and Silver medals to the top two candidates in each program at the Annual Convocation, based on CGPA, subject to:

  • Grades obtained through betterment/supplementary are not considered for the award.
  • The candidate must have obtained First Class with Distinction to be eligible for a Gold or Silver medal.
§ 15

Delivery Mode

  • The MCA program is delivered entirely through Experiential / Project-Based Learning (PBL) in trimester mode; there is no conventional regular (semester) mode.
  • Every course is taught through PBL, with hands-on, project- and artefact-based learning as the target outcome.
§ 16

Attendance — Calculation

  • Attendance is the credit-weighted average of the student's attendance across the L-T-P-S components of the course.
  • Attendance is counted from the class commencement date; for transferred or newly admitted students, from the date of admission.
§ 17

Attendance — Requirements for Promotion

  • Minimum 85% attendance is required for course promotion and to appear for the Term-End examination.
  • Up to 10% condonation (medical emergencies, with documentation submitted within a week) may be granted by the Principal, College of Engineering; a condonation fee applies.
  • Attendance slightly below 75% due to severe medical or valid reasons may be considered for further relaxation by the condonation board headed by the Vice-Chancellor.
§ 18

Attendance-based Marks

  • Course coordinators may allocate up to 5% of total marks for attendance, stated in the course handout and approved by the Dean (Academics).
  • Marks by attendance range: 85–88% = 1 mark, 89–91% = 2 marks, and so on; below 85% earns zero, even with condonation.
  • Attendance marks, if given, apply cumulatively to all L-T-P-S components, not just theory.
§ 19

Attendance Waiver

  • Students with a CGPA and TGPA of 9.00 or higher in the previous trimester may obtain an attendance waiver for up to three courses, with prior approval of the Dean (Academics).
  • Students using the waiver may participate in all assessment and evaluation components without being marked ineligible on attendance grounds.
§ 20

Compensatory (Extra) Attendance

  • Students representing KLEF in events or co-curricular/extracurricular activities may receive compensatory attendance with prior written approval.
  • Compensation is limited to 10% of total classes per course per trimester and does not apply to the summer term.
§ 21

Course-based Promotion & Detention

  • A student who fails to meet the minimum attendance is marked 'DT' (detained) in that course.
  • A detained student must re-register for the course and complete it fully — attending classwork, submitting all assessments, and taking all evaluation components.
§ 22

Eligibility for Term-End Examination

A registered, promoted student is eligible for the Term-End examination unless found ineligible due to:

  • Shortfall of attendance.
  • Acts of indiscipline.
  • Withdrawal from a course.
  • Non-payment of examination fees.
  • Appearing without a hall ticket.
§ 23

Assessment & Evaluation

Assessment in each theory course consists of Term-In examinations, continuous assessment (quizzes, tutorials, home assignments, active-learning methods) and the Term-End examination. Students should refer to the course handout for details.

  • Term-In and Term-End examinations are conducted as per the Academic Calendar.
  • Supplementary examinations are conducted at the discretion of the Dean (Academics) with the approval of the Vice-Chancellor.
  • Students may have more than one examination in a day during Term-In, Term-End or supplementary examinations.
  • Weightage: Term-In evaluation 60%, Term-End evaluation 40%. Minimum pass on Term-End alone: 50%. Minimum pass on aggregate: 50%.
§ 24

Term-In Evaluation

  • Evaluation is continuous throughout the trimester and carries 60% of the aggregate marks.
  • Component weightages are decided and notified by the course coordinator through the course handout, approved by the Dean (Academics) before the trimester begins.
  • Answer scripts are shown to students for verification within one week; discrepancies may be raised for re-evaluation.
  • The solution key and scheme of evaluation are displayed on the course web portal on the day of the examination.
  • A student unable to appear for a component (hospitalization, or representing KLEF/state/country) may be permitted a re-examination by the Dean (Academics).
  • A student who misses one of the two Term-In evaluations is eligible for a re-examination as notified in the course handout.
§ 25

Term-End Evaluation

  • The Term-End evaluation includes components such as end examinations, projects, presentations, practical and skill assessments as detailed in the course handout.
  • Each component is evaluated on the criteria in the course handout; component weightages are approved by the Dean (Academics) before the trimester.
  • To pass, a student must meet or exceed the minimum passing marks for each summative component in the course handout.
  • The key and scheme of evaluation are displayed on the course web portal on the day of the examination.
  • A student unable to appear (hospitalization, or representing KLEF/state/country) may request a re-examination with prior permission of the Dean (Academics).
§ 26

Absence in Assessment & Examination

  • Missing a formative component (quizzes, assignments, etc.) records a score of zero and no retake is permitted.
  • For an excused absence, the instructor may allow a retake, subject to written approval of both the Principal and the relevant Head of Department.
§ 27

Make-up Examinations

Absence from a Term-In or Term-End examination is considered for a make-up examination only under:

  • Pre-approved participation in university/state/national/international co-curricular or extracurricular activities.
  • Illness or medical emergency resulting in hospitalization, with a doctor's certificate stating inability to attend within the designated period.
  • Death of an immediate family member.
§ 28

Remedial Examinations & Classes

  • Remedial exams are conducted for students who score below 60% in Term-In Exam-I and have attended at least 85% of the remedial classes.
  • For courses without remedial classes, no remedial exam is scheduled; there are no remedial exams for Term-In Exam-II or laboratory exams.
  • The number of remedial classes is 33% of the regular classes held before Term-In Exam-I, scheduled about one to two weeks after it and never during regular class hours.
  • Recommended for remedial classes: students who scored below 60% in Term-In Exam-I, students for whom CO1/CO2/CO3 are not attained, and others at the Principal's discretion.
§ 29

Assessment of Project / Research Courses

  • All project or research-based courses must have a defined completion time limit, with schedules for monitoring and evaluation announced each term.
  • The final project report is considered and evaluated by the panel of examiners only after obtaining a plagiarism certificate.
  • Project reports must follow the guidelines prescribed by the Office of the Dean (Academics).
§ 30

Grading Process — Absolute Grading

Each student is graded on an absolute or relative grading system. Relative grading applies only to a section with 25 or more registered students. The choice of grading system is decided by the course coordinator with the approval of the Dean (Academics) and is specified in the course handout.

Performance Grade Grade Point Marks %
Outstanding O 10 90–100
Excellent A+ 9 80–89
Very Good A 8 70–79
Good B+ 7 60–69
Above Average B 6 50–59
Fail F 0 0–49
Absent AB 0 Absent
§ 31

Grading Process — Relative Grading

Under relative grading, μ is the mean mark of the class (excluding students scoring ≥ 90% or ≤ 50% after rounding) and σ is the standard deviation of the marks.

Grade Grade Point Calculation
O 10 marks ≥ 90% and marks ≥ μ + 1.5σ
A+ 9 μ + 0.5σ ≤ marks < μ + 1.5σ
A 8 μ ≤ marks < μ + 0.5σ
B+ 7 μ − 0.5σ ≤ marks < μ
B 6 μ − 1.0σ ≤ marks < μ − 0.5σ
F 0 marks < μ − 1.0σ, or marks ≤ 49
AB 0 Absent
§ 32

Course Handout

A course handout is a document providing essential information about a course — a roadmap of expectations, assignments and grading.

  • Significance: clarity & organization of course structure, topics and deadlines; communicates the instructor's expectations; outlines the grading criteria; lists valuable learning resources.
  • Contents: course description and relevance; learning outcomes; instructor information and office hours; a tentative course schedule; required materials; assessment methods and weightages; and assignment guidelines with due dates.
  • Effective use: refer to it regularly, highlight key points, and ask questions when anything is unclear.
§ 33

Betterment

  • A student may reappear for the Term-End examination for betterment (theory part only) to improve a grade, provided the course is passed, CGPA ≤ 6.75, and the course grade is 'B' or lower; the better of the two grades is considered.
  • A student may re-register for any course during the program to improve a grade lower than 'B+', with approval of the Dean (Academics).
  • Reappearing is not allowed for courses with an L-T-P-S structure such as 0-0-X-X, 0-0-X-0 or 0-0-0-X — internships, seminars, term papers, projects, capstone projects, practice school and industrial internships.
§ 34

Supplementary

  • A student is eligible for a supplementary exam if they do not meet the minimum passing marks or fail any Term-End component listed in the course handout.
  • Failed courses not offered in the current trimester are scheduled for the summer supply.
  • Only the failed component(s) are considered, though in some cases all components may be retaken to improve marks.
  • Where supplementary exams clash with other exams, students may take them during the summer supply.
  • Students must register within the specified period after results and may be required to pay a supplementary fee.
  • A student opting for a supplementary is not eligible for First Class with Distinction.
§ 35

Revaluation

  • Students wishing to see their Term-End answer scripts apply online to the COE within the declared timeframe by paying the prescribed fee through the ERP.
  • There is no re-evaluation for lab/practical/skilling exams, project, viva-voce, seminar, design or mini-project courses.
  • Final grades are announced by the COE and made available through the website/notice boards.
§ 36

Credit Transfer

  • Between KLEF and other institutions: a KLEF student may transfer to an institution with which KLEF has signed an MoU, and may return after a trimester or year with equivalent credits awarded for courses done elsewhere.
  • From another institution to KLEF: equivalent credits are assigned based on courses studied, computed on a 10-point scale (course credits × equivalent grade point of the previous institution ÷ KLEF course credits).
  • A zero-credit, no-grade course requires sitting the final examination for the equivalent KLEF course.
  • A transfer student must follow KLEF's rules and, to graduate, must study at least half the minimum program duration at KLEF.
  • Through MOOCs: students may earn credit for KLEF-recommended MOOCs up to 20% of the minimum credits required for graduation, at the discretion of the Dean (Academics).
  • Up to 20 additional MOOC credits may be permitted; these may count toward a Minor or Honors degree if declared equivalent and approved by the Dean (Academics) prior to enrollment.
  • Students taking additional MOOC credits must otherwise possess a minimum CGPA of 7.5 up to that trimester.
§ 37

Promotion Policy

  • Promotion is course-based only; there is no term-based block promotion for MCA students.
§ 38

Counselling

KLEF implements a comprehensive Mentor-Mentee Scheme and a Central Academic Counselling Board (CACB) to address academic, career and psychological needs. Each student is assigned a faculty mentor as guide, counselor and advocate for academic and personal growth.

  • Academic counselling: guidance during registration; monitoring attendance and backlogs; communicating attendance and marks to parents; advising on specializations, flexibilities and study-abroad options; and conducting student/parent meetings.
  • Career counselling: recommending skilling and certificate courses; facilitating internships and competitive-exam preparation; guiding term papers, projects, hackathons and coding challenges; advising on higher education and entrance exams; encouraging entrepreneurship; and preparing students for placements.
  • Psychological counselling: guidance on time management; addressing anti-ragging concerns; managing mental stress and well-being; and addressing hostel, food and personal concerns, with referrals when needed.
§ 39

Mentor-Mentee Allocation

  • The Department Academic Counselling Board (DACB) assigns approximately 20 students to each faculty mentor, from the students' parent department, continuing until course completion.
  • Mentors maintain detailed records of interactions in the ERP and update counselling remarks for students and parents every fortnight.
  • Mentors provide regular updates to parents on academic progress and well-being, reflected in DACB monthly and CACB trimester reports.
§ 40

Academic Counselling Board (ACB)

The ACB is constituted by the Dean (Academics), comprising a Chairman, Convener, Principal/Director, HOD and a Professor/Associate Professor. A student is placed under the ACB when they:

  • Have a CGPA below 6.00, or
  • Have an F grade or are detained in multiple courses.
  • First-level counselling is by the mentor and HOD, followed by the ACB; such students may be allowed to register for only a few courses on the ACB's recommendation.
§ 41

Rustication Policy

  • A student may be rusticated from KLEF on disciplinary grounds by the Vice-Chancellor, based on the recommendation of an empowered committee.
§ 42

Examination Malpractice — Penalties

The following constitute malpractice during examinations, with penalties as noted:

  • Possession of unauthorized material in the exam hall (including body marks) — immediate expulsion from the hall, without cancelling the paper.
  • Giving/receiving assistance, smuggling scripts, offensive language, or exchanging scripts — expulsion and cancellation of that subject's performance for all involved; outsiders handed to police.
  • Copying from unauthorized material — expulsion, cancellation of that subject, and a fine of ₹1000.
  • Removing/tearing the answer script, or appearing intoxicated — expulsion and cancellation of that subject and all subjects already appeared (including practical and project work); barred from the remaining examinations of that term.
  • Disobeying authorities, disturbances, walk-outs, assault or damage, or possession of a weapon — expulsion, cancellation of all subjects, debarment from future exams and possible forfeiture of seat; outsiders handed to police.
  • Impersonation — both persons expelled, the candidate's performance cancelled in all subjects and barred for two consecutive trimesters; an outsider impersonator handed to police.
  • Repeated offenses — expulsion, cancellation of all performances for the term and a ₹1000 fine; repeated dishonesty may lead to a transfer certificate.
  • Any other malpractice — punishment determined by the Examination Malpractice Committee and approved by the Vice-Chancellor.
§ 43

Plagiarism — Penalties

Plagiarism is a serious breach of academic integrity; the university enforces a strict zero-tolerance policy.

  • First offense — Minor (improper citation, small copied portions): warning and resubmission with proper citations; marks may be reduced up to 50%.
  • First offense — Major (copying significant portions, submitting another's work): grade of zero and a mandatory academic-integrity workshop.
  • Second offense — regardless of severity: zero for the assignment, an official letter of reprimand on record, and academic probation.
  • Third offense: suspension from the university for one academic term, with a permanent record of misconduct.
  • Repeated violations: further violations after the third offense may lead to expulsion.
  • In group work, all members are held equally accountable unless the plagiarism is shown to be isolated to specific individuals.
§ 44

Grievance Redressal

  • Students may seek redressal of academic, resource-related or personal grievances through the institutional Grievance Redressal mechanism.
  • Grievances may be submitted online through the ERP portal or offline to the designated cell.
  • The Student Grievance Redressal Committee — and, for specific matters, the Internal Complaints Committee (ICC) and the Anti-Ragging Committee — investigate and resolve complaints in a time-bound, confidential manner.
§ 45

Support for Differently-Abled Students

  • Reasonable accommodations are provided in line with the Rights of Persons with Disabilities Act, 2016.
  • Provisions include a scribe, compensatory/extra examination time, accessible seating and assistive arrangements, on prior application with documentation.
  • An accessible campus and dedicated support are provided through the designated enabling unit.
04 / Catalog

The 20 core courses
every MCA graduate takes.

Eight curricular domains. Every course carries a PBL LTPS spec — for PBL trimesters (30–42 CH/wk in the applied capstone terms). Same content, same credits; weekly intensity differs because trimesters compress 12 weeks where semesters spread 16. Cards are colour-coded by domain; prereq labels are sienna.

D1 · Programming Programming Foundations 2 COURSES · 7 CR
26CA5101E 4cr
PYPF · Python Programming I
Python Programming I — Foundations & OOP
PBL3:0:6:0CH 9
REG3:0:2:1CH 6
PRE—
26CA5205E 3cr
PYPS · Python Programming II
Python Programming II — DSA & Problem Solving
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PREPYPF
D2 · Full Stack Full Stack Engineering 2 COURSES · 8 CR
26CA5206E 4cr
FSPD · Full Stack Development I
Full Stack Development I — Flask, Django, PostgreSQL
PBL3:0:6:0CH 9
REG3:0:2:1CH 6
PREPYPF
26CA5309E 4cr
FSMR · Full Stack Development II
Full Stack Development II — FastAPI, MongoDB, React
PBL3:0:6:0CH 9
REG3:0:2:1CH 6
PREFSPD
D3 · AI / GenAI AI, ML & Generative Intelligence 4 COURSES · 13 CR
26CA5207E 4cr
AIML · AI & Machine Learning
Artificial Intelligence & Machine Learning
PBL3:0:6:0CH 9
REG3:0:2:1CH 6
PREPYPF
26CA5310E 3cr
ADRG · Applied DL, LLM & RAG
Applied Deep Learning, LLM Engineering & RAG
PBL3:0:0:6CH 9
REG2:0:2:1CH 5
PREAIML
26CA6113E 3cr
GAIP · GenAI API & AI Platform
GenAI API & AI Platform Engineering
PBL3:0:0:6CH 9
REG2:0:2:1CH 5
PREADRG
26CA6215E 3cr
AAFM · Agentic AI + Full Stack + MCP
Agentic AI with Full Stack & MCP
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PREGAIP
D4 · Data Data Science & Analytics 2 COURSES · 6 CR
26CA6114E 3cr
DSAV · Data Science Analytics & Viz
Data Science, Analytics & Visualization
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PREAIML
26CA6320E 3cr
DSSC · Data Science for Scale
Data Science for Scale — Distributed Computing
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PREDSAV
D5 · Systems Systems & Infrastructure Administration 4 COURSES · 12 CR
26CA5102E 3cr
LXOS · Linux & OS Administration
Linux & Operating System Administration
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PRE—
26CA5103E 3cr
DBDA · Database & Distributed DB Admin
Database & Distributed Database Administration
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PRE—
26CA5104E 3cr
CDVO · Cloud Admin & DevOps
Cloud Administration & Cloud DevOps
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PRE—
26CA5311E 3cr
HPCM · HPC & Cluster Management
HPC Administration & Cluster Management
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PRELXOS
D6 · Adaptive SE Adaptive Software Engineering 1 COURSE · 3 CR
26CA5312E 3cr
ASEM · Adaptive SE with MLOps
Adaptive Software Engineering with MLOps
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PREAIML
D7 · Cybersecurity Offensive · Defensive · DevSecOps 3 COURSES · 9 CR
26CA5208E 3cr
OFSC · Offensive Security
Offensive Security — Pen Testing & Red Teaming
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PRELXOS
26CA6217E 3cr
DFSC · Defensive Security
Defensive Security — SOC, SIEM & DFIR
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PREOFSC
26CA6319E 3cr
DVSO · DevSecOps
DevSecOps — Secure CI/CD & Cloud Hardening
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PREDFSC
D8 · Blockchain Blockchain & Web3 Programming 2 COURSES · 6 CR
26CA6216E 3cr
BCSC · Blockchain & Smart Contract
Blockchain & Smart Contract Programming
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PREPYPS
26CA6318E 3cr
W3DA · Web3 & dApp Development
Web3 Programming & dApp Development
PBL3:0:3:0CH 6
REG2:0:2:1CH 5
PREBCSC
D9 · Project Capstone, Internship & Communication 4 ITEMS · 14 CR + 0 (audit)
26IE5004E 4cr
TINT · Technical Internship
Technical Internship (Summer Block)
PBL0:0:12:0CH 12
REG0:0:12:0CH 12
PRET3 / S2
MCA902 5cr
CPS1 · Capstone Project I
Capstone Project I — Architecture & Baseline
PBL2:0:6:0CH 8
REG2:0:6:0CH 8
PRETINT
MCA903 5cr
CPS2 · Capstone Project II
Capstone Project II — Build, Deploy & Defense
PBL2:0:6:0CH 8
REG2:0:6:0CH 8
PRECPS1
26UC5103E audit
MMCA · Mathematical Methods · AUDIT
Mathematical Methods for Computer Applications (Audit Course)
PBL0:0:3:0CH 3
REG0:0:3:0CH 3
PRE—
26UC5101E audit
CSTW · Communication Skills · AUDIT
Communication Skills and Technical Writing (Audit Course)
PBL0:0:3:0CH 3
REG0:0:3:0CH 3
PRE—
05 / Tracks

Five tracks for depth.
Four PEs each.

Each student picks one track at the start of Year 2 and takes four professional electives from it. The tracks reuse the BCA specialization model, with redundant courses removed where MCA core already provides the foundation. Every PE is 3 credits, 4 contact hours, delivered with a 2:0:2:0 LTPS split.

Track A · Applied AI & GenAI
Applied AI & Generative Intelligence
Lateral specialty applications — CV, voice, recsys, doc AI.
  • 26CA61A1E Conversational AI & Speech Systems ← AIML
  • 26CA61A2E Computer Vision & Multimodal AI ← ADRG
  • 26CA62A3E Recommender Systems & Personalization at Scale ← AIML
  • 26CA63A4E Intelligent Document Processing & RPA ← ADRG
Track B · Cloud Native & SRE
Cloud Native & Site Reliability Engineering
Goes deeper than core Cloud DevOps.
  • 26CA61B1E Microservices, Service Mesh & Distributed Systems ← CDVO
  • 26CA61B2E Event-Driven & Stream Processing Architectures ← CDVO
  • 26CA62B3E SRE & Advanced Observability ← CDVO
  • 26CA63B4E Serverless, Edge & FaaS Computing ← CDVO
Track C · Applied Cybersecurity
Applied Cybersecurity & Privacy
Goes deeper than Off / Def Sec + DevSecOps in core.
  • 26CA61C1E Advanced Threat Hunting & Adversary Emulation ← OFSC
  • 26CA61C2E Privacy Engineering & Data Protection (DPDP, GDPR) ← DBDA
  • 26CA62C3E Cloud Native Security & Zero Trust Architecture ← CDVO
  • 26CA63C4E Security Governance, Risk & Compliance (GRC) ← OFSC
Track D · Fintech & DeFi
Fintech, RegTech & DeFi Engineering
Lateral applications, leveraging core Blockchain & Web3.
  • 26CA61D1E DeFi Protocols & Tokenomics Engineering ← PYPS
  • 26CA61D2E Fintech Apps — Payments, Trading, Lending ← FSPD
  • 26CA62D3E RegTech & Compliance Automation ← DBDA
  • 26CA63D4E Enterprise Distributed Ledger & Layer-2 Solutions ← BCSC
Track E · Data & Analytics
Data Engineering & Decision Analytics
Beyond core DS Analytics & DS for Scale.
  • 26CA61E1E Analytics Engineering & Modern Data Platforms ← PYPS
  • 26CA61E2E Causal Analytics & Experimentation ← AIML
  • 26CA62E3E Business Forecasting & Demand Analytics ← AIML
  • 26CA63E4E Customer Growth & Behavioral Analytics ← DSAV

Why “5 tracks, 4 PEs each”?

With 4 PE slots per student and 5 stream choices, the program offers 20 distinct PEs in the catalog while keeping student commitment focused. Tracks are reused from the BCA design with deliberate pruning: BCA's Smart Contract Development PE was dropped (already a core in MCA), and DeFi was redesigned to go deeper than the BCA equivalent. Every PE has a single core prerequisite from Year 1, ensuring all tracks open cleanly in T4 / S2.

06 / PBL Mode

Six trimesters.
Project-based learning.

Trimester mode runs four courses per term at 32–34 CH/wk; T5 and T6 expand to 5 items (4 standard + Capstone) and rise to 36 CH/wk, which is the program-wide ceiling per institutional norms. Standard 3-cr courses run at CH=8 in T1–T4 and at CH=7 in T5/T6 to make room for the 8 CH capstone.

Year One · Foundation
T1
4 + audit
13 cr · 30 ch
PYPFPython Programming I4
LXOSLinux & OS Administration3
DBDADatabase & Distributed DB Admin3
CDVOCloud Admin & Cloud DevOps3
MMCAMathematical Methods for Computer Applicationsaudit
T2
4 + audit
14 cr · 33 ch
PYPSPython Programming II3
FSPDFull Stack Development I4
AIMLAI & Machine Learning4
OFSCOffensive Security3
CSTWCommunication Skills and Technical Writingaudit
T3
4 courses
13 cr · 30 ch
FSMRFull Stack Development II4
ADRGApplied DL, LLM Eng & RAG3
HPCMHPC Admin & Cluster Mgmt3
ASEMAdaptive SE with MLOps3
Summer Block MCA901 · TINT · Technical Internship · 4 credits · ~8–10 week industry placement
Year Two · Specialization & Capstone
T4
4 courses
12 cr · 27 ch
GAIPGenAI API & AI Platform Eng3
DSAVData Science, Analytics & Viz3
PE-1Professional Elective I3
PE-2Professional Elective II3
T5
5 items · incl. CP1
17 cr · 42 ch
AAFMAgentic AI + Full Stack + MCP3
BCSCBlockchain & Smart Contract Prog3
DFSCDefensive Security3
PE-3Professional Elective III3
CPS1Capstone Project I5
T6
5 items · incl. CP2
17 cr · 42 ch
W3DAWeb3 & dApp Development3
DVSODevSecOps3
DSSCData Science for Scale3
PE-4Professional Elective IV3
CPS2Capstone Project II5

PBL credit roll-up

Y1: 13 + 14 + 13 = 40 cr  ·  Summer: 4 cr  ·  Y2: 12 + 17 + 17 = 46 cr  ·  Total = 90 cr  ·  Per-term CH/wk: 34 / 32 / 32 / 32 / 36 / 36 (all within 32–38 band)

10 / Regular Mode

Four semesters.
Same catalog, different cadence.

Semester mode runs 6 courses in Y1 and 7 items in Y2 (incl. capstone). All 27 academic items match the PBL inventory exactly — only the calendar shape changes. Y1 holds 32–34 CH/wk; Y2 capstone semesters land at 36 CH/wk at the program-wide ceiling.

Year One · Foundation
S1
6 + audit
20 cr · 34 ch
PYPFPython Programming I4
PYPSPython Programming II3
LXOSLinux & OS Administration3
AIMLAI & Machine Learning4
CDVOCloud Admin & Cloud DevOps3
OFSCOffensive Security3
MMCAMathematical Methods for Computer Applicationsaudit
S2
6 + audit
20 cr · 35 ch
FSPDFull Stack Development I4
FSMRFull Stack Development II4
ADRGApplied DL, LLM Eng & RAG3
DBDADatabase & Distributed DB Admin3
HPCMHPC Admin & Cluster Mgmt3
PE-1Professional Elective I3
CSTWCommunication Skills and Technical Writingaudit
Summer Block MCA901 · TINT · Technical Internship · 4 credits · ~8–10 week industry placement
Year Two · Specialization & Capstone
S3
7 items · incl. CP1
23 cr · 36 ch
GAIPGenAI API & AI Platform Eng3
ASEMAdaptive SE with MLOps3
DSAVData Science, Analytics & Viz3
BCSCBlockchain & Smart Contract Prog3
DFSCDefensive Security3
PE-2Professional Elective II3
CPS1Capstone Project I5
S4
7 items · incl. CP2
23 cr · 36 ch
AAFMAgentic AI + Full Stack + MCP3
W3DAWeb3 & dApp Development3
DVSODevSecOps3
DSSCData Science for Scale3
PE-3Professional Elective III3
PE-4Professional Elective IV3
CPS2Capstone Project II5

Regular credit roll-up

Y1: 20 + 20 = 40 cr  ·  Summer: 4 cr  ·  Y2: 23 + 23 = 46 cr  ·  Total = 90 cr  ·  Per-sem CH/wk: 34 / 32 / 38 / 38 (all within 32–38 band)

07 / Prereq Map

The prerequisite
topology, mapped.

Every directed edge represents a single-prereq relationship enforced by the curriculum. Layered by trimester (T1 to T6) with the summer internship sitting between Years 1 and 2. Capstone I and II form the strong sienna spine through Year 2. PEs (sienna boxes) inherit their prereqs from Year 1 cores, ensuring all five tracks open cleanly in T4.

T1 T2 T3 Summer T4 T5 T6 PYPF LXOS DBDA CDVO PYPS FSPD AIML OFSC FSMR ADRG HPCM ASEM TINT GAIP DSAV PE-1 PE-2 AAFM BCSC DFSC PE-3 CPS1 W3DA DVSO DSSC PE-4 CPS2
D1 Programming
D2 Full Stack
D3 AI/GenAI
D4 Data
D5 Systems
D6 Adaptive SE
D7 Cybersec
D8 Blockchain
D9 Capstone

PE prerequisite matrix

Each track's four PEs draw their prerequisite from a different Year 1 core, so the timing remains clean regardless of which track a student picks. PEs run in T4–T6 (PBL) or S2–S4 (Regular).

Track PE Course Code Prereq Earliest
A · AIConversational AI & Speech SystemsMCA301AIMLT4 / S2
A · AIComputer Vision & Multimodal AIMCA302ADRGT4 / S2
A · AIRecommender Systems & PersonalizationMCA303AIMLT4 / S2
A · AIIntelligent Document Processing & RPAMCA304ADRGT4 / S2
B · CloudMicroservices, Service Mesh & Distributed SystemsMCA401CDVOT4 / S2
B · CloudEvent-Driven & Stream ProcessingMCA402CDVOT4 / S2
B · CloudSRE & Advanced ObservabilityMCA403CDVOT4 / S2
B · CloudServerless, Edge & FaaS ComputingMCA404CDVOT4 / S2
C · CyberAdvanced Threat Hunting & Adversary EmulationMCA501OFSCT4 / S2
C · CyberPrivacy Engineering & Data ProtectionMCA502DBDAT4 / S2
C · CyberCloud Native Security & Zero TrustMCA503CDVOT4 / S2
C · CyberSecurity Governance, Risk & ComplianceMCA504OFSCT4 / S2
D · DeFiDeFi Protocols & Tokenomics EngineeringMCA601PYPST4 / S2
D · DeFiFintech Apps — Payments, Trading, LendingMCA602FSPDT4 / S2
D · DeFiRegTech & Compliance AutomationMCA603DBDAT4 / S2
D · DeFiEnterprise Distributed Ledger & Layer-2MCA604BCSCT5 / S3
E · DataAnalytics Engineering & Modern Data PlatformsMCA701PYPST4 / S2
E · DataCausal Analytics & ExperimentationMCA702AIMLT4 / S2
E · DataBusiness Forecasting & Demand AnalyticsMCA703AIMLT4 / S2
E · DataCustomer Growth & Behavioral AnalyticsMCA704DSAVT4 / S2
08 / Credits

90 credits.
Eight domains.

The 90-credit total lands above AICTE's 80-credit floor without bloat. Programming + Full Stack + AI/GenAI together account for 28 cr (31% of program), reflecting the design priority. PEs and capstone close the rest with professional depth.

Credit roll-up

Bucket Items Credits
Programming Foundations (D1)27
Full Stack Engineering (D2)28
AI / ML / GenAI (D3)413
Data Science (D4)26
Systems & Infrastructure (D5)412
Adaptive SE w/ MLOps (D6)13
Cybersecurity (D7)39
Blockchain & Web3 (D8)26
Professional Electives (4 from chosen track)412
Capstone Project I + II (D9)210
Technical Internship (Summer)14
Professional Communications (audit · 0 cr)10
Total27 + 1A90

Credit distribution

D1 Programming
7
D2 Full Stack
8
D3 AI / GenAI
13
D4 Data Science
6
D5 Systems
12
D6 Adaptive SE
3
D7 Cybersecurity
9
D8 Blockchain / Web3
6
PE (chosen track)
12
D9 Capstone + Internship
14
Coverage

AI / GenAI domain leads at 13 credits, followed by Systems at 12 credits, and the chosen PE track + Capstone at 26 credits. Together these define what an MCA graduate can build.

Per-term load verification

PBL Mode
TermItemsCrCH/wk
T1 + audit51334
T241432
T341332
Summer (TINT)14—
T441232
T5 (incl. CP1)51736
T6 (incl. CP2)51736
Total2890—
Regular Mode
SemItemsCrCH/wk
S1 + audit72034
S262032
Summer (TINT)14—
S3 (incl. CP1)72338
S4 (incl. CP2)72338
Total2890—
09 / Certifications

Global vendor certifications,
aligned to every course.

The Skill Development Centre mandates a stringent L0–L3 certification pathway with parallel Advanced and Regular tracks across all five MCA specializations. Every graduate completes 3 universal foundation certifications plus 4 track-specific certifications (one per level). Only paid, proctored, globally-recognised vendor credentials count toward SDC credit. MOOC course-completion certificates do not.

8.1 / Framework

Four levels. Two tracks. Same target outcome.

Each MCA student progresses through four certification levels matched to the two-year program spine. Advanced track targets premium placements (₹15–30+ LPA); Regular track targets stable industry placements (₹8–15 LPA). The track choice is recorded at the start of Year 1 and reviewed each trimester.

L0 · Foundation
Entry-level vendor certifications
Y1 · T1–T2 / S1

Establishes the core domain fundamentals. Cloud Practitioner, MongoDB Associate, Python PCAP, CompTIA Security+, NVIDIA DLI Deep Learning, Databricks Data Analyst.

CTC: ₹8–12 LPA
L1 · Intermediate
Associate-level applied skills
Y1 · T3 / S2

Hands-on associate certifications demonstrating applied capability. AWS SAA, Azure AZ-104, MongoDB Node.js, NVIDIA RAG Agents, CompTIA PenTest+.

CTC: ₹10–18 LPA
L2 · Advanced
Professional-grade specialised expertise
Y2 · T4–T5 / S3

Professional certifications validating specialised expertise. CKAD, Databricks GenAI Pro, EC-Council CEH v13, Hyperledger Fabric Dev, GCP Pro Data Engineer.

CTC: ₹15–25 LPA
L3 · Expert
Specialist credentials for premium roles
Y2 · T6 / S4

Specialist-tier credentials for architect/leadership roles. AWS ML Specialty, OSCP, AWS DevOps Pro, AWS Data Analytics Specialty, GCP Pro ML Eng.

CTC: ₹25–40+ LPA

✓ Accepted as formal SDC credit

Only paid, proctored, globally-recognised vendor certifications issued directly by the primary technology vendor: AWS, Microsoft Azure, Google Cloud, Cisco, CompTIA, Oracle, Red Hat, NVIDIA DLI paid tracks, MongoDB University paid exams, Databricks, EC-Council, Offensive Security, HashiCorp, CNCF, Linux Foundation paid exams, ConsenSys.

✗ Excluded from formal SDC credit

MOOC-platform-issued certificates (Coursera specialisations, edX MicroMasters, Udemy, Udacity nanodegrees, Great Learning, Simplilearn, LinkedIn Learning), online completion badges, and free foundation badges (AZ-900, AWS introductory) count only as prerequisite study material, not formal credit.

8.2 / Universal Foundations

Three certifications every MCA graduate completes.

Independent of specialisation track. These three certifications certify the universal Year 1 capabilities of every MCA graduate — Python programming, full-stack database fluency, and cloud platform literacy.

F1
Python Institute
Python PCAP-31-03 — Certified Associate Python Programmer

OOP, modules, exceptions, file I/O, libraries. Industry-standard Python associate credential issued by the Python Institute (OpenEDG).

Cost: $295 / ₹24,640 · Course: PYPF + PYPS · When: Y1 T1–T2 / S1
F2
MongoDB · Inc.
MongoDB Associate Developer (Node.js)

Document modelling, aggregation, indexing, transactions, drivers. Globally recognised by full-stack hiring managers across product and consulting firms.

Cost: $150 / ₹12,525 · Course: FSPD + FSMR · When: Y1 T2–T3 / S2
F3
Amazon Web Services
AWS Certified Cloud Practitioner (CLF-C02)

Cloud concepts, AWS services, security, billing, architecture. Foundational cloud credential common to almost every campus-drive shortlist.

Cost: $100 / ₹8,350 · Course: CDVO · When: Y1 T1 / S1
8.3 / Track Ladders

Five specialisation ladders — L0 to L3, Advanced & Regular.

Each MCA student picks one of five specialisation tracks at the start of Year 2 and completes four certifications from the chosen ladder — one per level. The Advanced ladder targets premium placements; the Regular ladder targets stable industry placements. Course mappings on the right show which MCA courses prepare for each cert.

Track A · Applied AI & GenAI
NVIDIA · AWS · GCP · Databricks
LTimingAdvanced TrackRegular TrackCourse Map
L0 Y1 T2 / S1
NVIDIA DLI Deep Learning
NVIDIA · $100
DASAC Certified Data Scientist
DASAC · $250
AIML Partial
L1 Y1 T3 / S2
NVIDIA DLI Building RAG Agents with LLMs
NVIDIA · $90
DASAC Certified GenAI Engineer
DASAC · $350
ADRG Direct
L2 Y2 T4 / S3
NVIDIA DLI Advanced Generative AI
NVIDIA · $90
Databricks Generative AI Engineer Professional
Databricks · $200
GAIP Direct
L3 Y2 T5–T6 / S4
AWS Certified Machine Learning Specialty (MLS-C01)
AWS · $300
GCP Professional ML Engineer
Google Cloud · $200
AAFM PE-A Partial
Track B · Cloud Native & SRE
AWS · Azure · GCP · CNCF · HashiCorp
LTimingAdvanced TrackRegular TrackCourse Map
L0 Y1 T1 / S1
AWS Certified Cloud Practitioner
AWS · $100
Microsoft Azure Fundamentals (AZ-900) [study material]
Microsoft · ₹0 (free)
CDVO Direct
L1 Y1 T3 / S2
AWS Certified Solutions Architect Associate (SAA-C03)
AWS · $150
Microsoft Azure Administrator (AZ-104)
Microsoft · $165
CDVO PE-MSDS Partial
L2 Y2 T4–T5 / S3
CKAD — Certified Kubernetes Application Developer
CNCF · Linux Foundation · $395
CKA — Certified Kubernetes Administrator
CNCF · Linux Foundation · $395
PE-MSDS PE-SREO Direct
L3 Y2 T6 / S4
AWS DevOps Engineer Professional (DOP-C02)
AWS · $300
GCP Professional Cloud DevOps Engineer
Google Cloud · $200
DVSO PE-SREO Partial
Track C · Applied Cybersecurity
CompTIA · EC-Council · Offensive Security · Cisco · IAPP
LTimingAdvanced TrackRegular TrackCourse Map
L0 Y1 T2 / S1
CompTIA Security+ (SY0-701)
CompTIA · $411
Cisco CCST Cybersecurity
Cisco · $75
OFSC Direct
L1 Y1 T3 / S2
CompTIA PenTest+ (PT0-003)
CompTIA · $411
CompTIA CySA+ (CS0-003)
CompTIA · $411
OFSC Direct
L2 Y2 T5 / S3
EC-Council Certified Ethical Hacker v13 (312-50)
EC-Council · $1,200
Cisco CyberOps Associate (200-201)
Cisco · $300
DFSC PE-ATHA Direct
L3 Y2 T6 / S4
OSCP — Offensive Security Certified Professional (PEN-200)
Offensive Security · $1,749
AWS Security Specialty / eLearnSecurity eCPPT
AWS · $300 / INE · $400
DVSO PE-CNZT Partial
Track D · Fintech & DeFi
ConsenSys · Hyperledger · Bloomberg · NISM
LTimingAdvanced TrackRegular TrackCourse Map
L0 Y1 T2 / S1
ConsenSys Blockchain Developer Bootcamp
ConsenSys · $295
Bloomberg Market Concepts (BMC)
Bloomberg · $199
PYPS BCSC* Foundational
L1 Y2 T4 / S3
Certified Blockchain Developer — Ethereum (CBDE)
Blockchain Council · $595
NISM Series XV — Research Analyst
NISM (SEBI) · ₹2,000
BCSC PE-DFTE Direct
L2 Y2 T5 / S3
Hyperledger Fabric Developer Advanced
Linux Foundation · $300
Salesforce Financial Services Cloud Accredited Pro
Salesforce · $200
W3DA PE-EDLT Direct
L3 Y2 T6 / S4
Certified Blockchain Architect (Solidity Specialist)
Blockchain Council · $695
CFA Level I (Chartered Financial Analyst)
CFA Institute · ₹55,000+
PE-FAPL PE-RTCA Foundational
Track E · Data Engineering & Analytics
Databricks · Snowflake · Microsoft · GCP · AWS
LTimingAdvanced TrackRegular TrackCourse Map
L0 Y1 T3 / S2
Databricks Certified Data Analyst Associate
Databricks · $200
Microsoft Power BI Data Analyst Associate (PL-300)
Microsoft · $165
DSAV Direct
L1 Y2 T4 / S3
Databricks Certified Data Engineer Associate
Databricks · $200
Microsoft Azure Data Engineer Associate (DP-203)
Microsoft · $165
DSAV PE-ANEM Direct
L2 Y2 T5 / S3
Databricks Certified Data Engineer Professional
Databricks · $200
GCP Professional Data Engineer
Google Cloud · $200
DSSC PE-ANEM Direct
L3 Y2 T6 / S4
AWS Certified Data Analytics Specialty
AWS · $300
Snowflake SnowPro Advanced Architect
Snowflake · $375
DSSC PE-CGBA Partial
8.4 / Course → Certification

Every core course maps to at least one global certification.

For each MCA core course, the table below shows which globally-recognised vendor certification the course best prepares the student for, and whether the mapping is Direct (curriculum aligns with cert blueprint), Partial (covers a meaningful subset; needs additional self-study), or Foundational (covers prerequisite concepts; significant extra prep required).

Course ID Acr Course Name Best-Fit Certification Vendor Mapping
MCA101PYPFPython Programming IPython PCAP-31-03Python InstituteDirect
MCA111PYPSPython Programming IIPython PCPP-32-101 (Advanced) + LeetCode 200+Python InstitutePartial
MCA112FSPDFull Stack Development IMongoDB Associate DeveloperMongoDB Inc.Direct
MCA121FSMRFull Stack Development IIMongoDB Associate Developer for Node.jsMongoDB Inc.Direct
MCA113AIMLAI & Machine LearningNVIDIA DLI Deep LearningNVIDIAPartial
MCA122ADRGApplied DL, LLM & RAGNVIDIA DLI Building RAG Agents with LLMsNVIDIADirect
MCA201GAIPGenAI API & AI PlatformDatabricks Generative AI Engineer ProfessionalDatabricksDirect
MCA211AAFMAgentic AI + FullStack + MCPAWS Certified ML Specialty (MLS-C01)AWSPartial
MCA202DSAVData Science, Analytics & VizTableau Desktop Specialist / Power BI PL-300Salesforce / MicrosoftDirect
MCA223DSSCData Science for ScaleDatabricks Data Engineer AssociateDatabricksDirect
MCA102LXOSLinux & OS AdministrationLinux Foundation LFCS / Red Hat RHCSALinux Foundation / Red HatDirect
MCA103DBDADatabase & Distributed DB AdminOracle Database SQL Certified AssociateOracleDirect
MCA104CDVOCloud Admin & DevOpsAWS Certified Cloud Practitioner → SAAAWSDirect
MCA123HPCMHPC & Cluster ManagementLinux Foundation CKA / NVIDIA DLI Multi-GPUCNCF / NVIDIAPartial
MCA124ASEMAdaptive SE with MLOpsDatabricks ML Engineer AssociateDatabricksDirect
MCA114OFSCOffensive SecurityCompTIA Security+ → CompTIA PenTest+CompTIADirect
MCA213DFSCDefensive SecurityCompTIA CySA+ / Cisco CyberOps AssociateCompTIA / CiscoDirect
MCA222DVSODevSecOpsAWS DevOps Engineer Pro / HashiCorp Terraform AssocAWS / HashiCorpPartial
MCA212BCSCBlockchain & Smart ContractCertified Blockchain Developer (CBDE)Blockchain Council / ConsenSysDirect
MCA221W3DAWeb3 & dApp DevelopmentHyperledger Fabric Developer AdvancedLinux FoundationDirect
MCA902CPS1Capstone I(Track-dependent: students apply chosen-track L2/L3 cert in capstone)n/aFoundational
MCA903CPS2Capstone II(Track-dependent: students apply chosen-track L3 cert in capstone)n/aFoundational
8.5 / Certification → Course

Reverse view: which courses prepare for which cert.

Reverse mapping showing each certification (grouped by issuing vendor) with the MCA courses that prepare a student to sit for it. A direct fit means the course curriculum substantially covers the cert blueprint; partial means additional self-study is expected.

Vendor Certification Prep Course(s) Mapping
AWSAWS Certified Cloud Practitioner (CLF-C02)CDVODirect
AWSAWS Solutions Architect Associate (SAA-C03)CDVO PE-MSDSPartial
AWSAWS DevOps Engineer ProfessionalDVSO PE-SREOPartial
AWSAWS Certified ML Specialty (MLS-C01)AIML ASEM AAFMPartial
AWSAWS Data Analytics SpecialtyDSSC PE-ANEMPartial
AWSAWS Security SpecialtyDVSO PE-CNZTPartial
MicrosoftAzure Administrator (AZ-104)CDVOPartial
MicrosoftAzure Data Engineer Associate (DP-203)DSAV DSSCDirect
MicrosoftPower BI Data Analyst (PL-300)DSAVDirect
Google CloudGCP Professional ML EngineerAIML ADRG GAIPPartial
Google CloudGCP Professional Data EngineerDSAV DSSCDirect
Google CloudGCP Professional Cloud DevOps EngineerDVSO PE-SREODirect
Python InstitutePython PCAP-31-03PYPFDirect
MongoDBMongoDB Associate Developer (Node.js)FSPD FSMRDirect
OracleOracle DB SQL Certified AssociateDBDADirect
Linux FoundationLFCS / RHCSALXOSDirect
Linux Foundation / CNCFCKAD / CKAHPCM PE-MSDSDirect
NVIDIA DLINVIDIA DLI Deep LearningAIMLPartial
NVIDIA DLINVIDIA DLI Building RAG Agents with LLMsADRGDirect
NVIDIA DLINVIDIA DLI Advanced Generative AIGAIPDirect
NVIDIA DLINVIDIA DLI Computer Vision SpecializationPE-CVMADirect
DatabricksDatabricks Generative AI Engineer ProGAIP AAFMDirect
DatabricksDatabricks Data Engineer Associate / ProDSAV DSSCDirect
DatabricksDatabricks ML Engineer AssociateASEMDirect
CompTIACompTIA Security+ (SY0-701)OFSCDirect
CompTIACompTIA PenTest+ (PT0-003)OFSC PE-ATHADirect
CompTIACompTIA CySA+ (CS0-003)DFSCDirect
EC-CouncilCertified Ethical Hacker v13 (CEH)DFSC PE-ATHADirect
Offensive SecurityOSCP (PEN-200)PE-ATHA DVSOPartial
CiscoCisco CyberOps Associate (200-201)DFSCDirect
IAPPCIPP/E or CIPM (Privacy)PE-PVEDDirect
HashiCorpHashiCorp Terraform AssociateDVSO CDVOPartial
ConsenSysConsenSys Blockchain Developer BootcampBCSCDirect
Blockchain CouncilCertified Blockchain Developer Ethereum (CBDE)BCSC PE-DFTEDirect
Linux FoundationHyperledger Fabric Developer AdvancedW3DA PE-EDLTDirect
SnowflakeSnowPro Advanced ArchitectDSSC PE-ANEMPartial
dbt Labsdbt Analytics Engineer CertificatePE-ANEMDirect
ConfluentConfluent Certified Developer for KafkaPE-EDSPDirect
Salesforce / TableauTableau Desktop SpecialistDSAVDirect
8.6 / Pipeline

The two-year certification timeline.

How the foundations and track-specific ladders flow across the four trimesters / four semesters. Year 1 carries the universal foundations and L0–L1 of the chosen track; Year 2 layers L2–L3 on top of the capstone project.

Year 1 · T1–T2 / S1
Foundation
  • F1 Python PCAP-31-03 — all 180 students (Y1 T1–T2)
  • F3 AWS Cloud Practitioner — all 180 students (Y1 T1)
  • L0 (Track A) NVIDIA DLI Deep Learning
  • L0 (Track B) AWS Cloud Practitioner [serves as L0 too]
  • L0 (Track C) CompTIA Security+ / Cisco CCST
  • L0 (Track D) ConsenSys Blockchain Bootcamp / BMC
Year 1 · T3 / S2
L0 → L1 Bridge
  • F2 MongoDB Associate Developer (Node.js) — all 180 students
  • L1 (Track A) NVIDIA DLI Building RAG Agents
  • L1 (Track B) AWS SAA / Azure AZ-104
  • L1 (Track C) CompTIA PenTest+ / CySA+
  • L0 (Track E) Databricks Data Analyst Associate
  • Summer internship preparation begins
Year 2 · T4–T5 / S3
Specialisation L2
  • L2 (Track A) NVIDIA DLI Adv GenAI / Databricks GenAI Pro
  • L2 (Track B) CKAD / CKA
  • L2 (Track C) EC-Council CEH v13 / Cisco CyberOps
  • L2 (Track D) Hyperledger Fabric Dev Advanced
  • L2 (Track E) Databricks DE Pro / GCP Pro Data Engineer
  • Capstone Project I begins
Year 2 · T6 / S4
Expert L3 + Placement
  • L3 (Track A) AWS ML Specialty / GCP Pro ML Engineer
  • L3 (Track B) AWS DevOps Pro / GCP Pro Cloud DevOps
  • L3 (Track C) OSCP / AWS Security Specialty
  • L3 (Track D) Cert Blockchain Architect / CFA L1
  • L3 (Track E) AWS Data Analytics / SnowPro Advanced
  • Capstone Project II + Placement drives

Per-graduate certification budget

Each MCA graduate completes 3 universal foundations + 4 track-specific certifications (L0–L3) — a total of 7 globally-recognised vendor credentials across the two-year program. Estimated total cost: $700–$2,500 per student (₹58K–₹2.1L) depending on Advanced vs Regular track choice. Industry-sponsored voucher partnerships with AWS, Microsoft, Databricks, NVIDIA Inception, and Linux Foundation target ≥ 40% subsidy on cohort fees.