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.
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.
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.
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.
The same 27 academic items run in both modes. PBL collapses them into 6 trimesters of 4 courses (with T5/T6 expanded to 5 incl. Capstone); Regular spreads them across 4 semesters of 6–7 courses. Identical credits, identical outcomes, identical prerequisite chain. Only the calendar shape differs.
Eight curricular domains. Every course carries two LTPS specs — one for PBL trimesters (32–36 CH/wk), one for Regular semesters (32–36 CH/wk). 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.
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.
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.
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.
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)
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.
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)
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.
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 · AI | Conversational AI & Speech Systems | MCA301 | AIML | T4 / S2 |
| A · AI | Computer Vision & Multimodal AI | MCA302 | ADRG | T4 / S2 |
| A · AI | Recommender Systems & Personalization | MCA303 | AIML | T4 / S2 |
| A · AI | Intelligent Document Processing & RPA | MCA304 | ADRG | T4 / S2 |
| B · Cloud | Microservices, Service Mesh & Distributed Systems | MCA401 | CDVO | T4 / S2 |
| B · Cloud | Event-Driven & Stream Processing | MCA402 | CDVO | T4 / S2 |
| B · Cloud | SRE & Advanced Observability | MCA403 | CDVO | T4 / S2 |
| B · Cloud | Serverless, Edge & FaaS Computing | MCA404 | CDVO | T4 / S2 |
| C · Cyber | Advanced Threat Hunting & Adversary Emulation | MCA501 | OFSC | T4 / S2 |
| C · Cyber | Privacy Engineering & Data Protection | MCA502 | DBDA | T4 / S2 |
| C · Cyber | Cloud Native Security & Zero Trust | MCA503 | CDVO | T4 / S2 |
| C · Cyber | Security Governance, Risk & Compliance | MCA504 | OFSC | T4 / S2 |
| D · DeFi | DeFi Protocols & Tokenomics Engineering | MCA601 | PYPS | T4 / S2 |
| D · DeFi | Fintech Apps — Payments, Trading, Lending | MCA602 | FSPD | T4 / S2 |
| D · DeFi | RegTech & Compliance Automation | MCA603 | DBDA | T4 / S2 |
| D · DeFi | Enterprise Distributed Ledger & Layer-2 | MCA604 | BCSC | T5 / S3 |
| E · Data | Analytics Engineering & Modern Data Platforms | MCA701 | PYPS | T4 / S2 |
| E · Data | Causal Analytics & Experimentation | MCA702 | AIML | T4 / S2 |
| E · Data | Business Forecasting & Demand Analytics | MCA703 | AIML | T4 / S2 |
| E · Data | Customer Growth & Behavioral Analytics | MCA704 | DSAV | T4 / S2 |
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.
| Bucket | Items | Credits |
|---|---|---|
| Programming Foundations (D1) | 2 | 7 |
| Full Stack Engineering (D2) | 2 | 8 |
| AI / ML / GenAI (D3) | 4 | 13 |
| Data Science (D4) | 2 | 6 |
| Systems & Infrastructure (D5) | 4 | 12 |
| Adaptive SE w/ MLOps (D6) | 1 | 3 |
| Cybersecurity (D7) | 3 | 9 |
| Blockchain & Web3 (D8) | 2 | 6 |
| Professional Electives (4 from chosen track) | 4 | 12 |
| Capstone Project I + II (D9) | 2 | 10 |
| Technical Internship (Summer) | 1 | 4 |
| Professional Communications (audit · 0 cr) | 1 | 0 |
| Total | 27 + 1A | 90 |
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.
| Term | Items | Cr | CH/wk |
|---|---|---|---|
| T1 + audit | 5 | 13 | 34 |
| T2 | 4 | 14 | 32 |
| T3 | 4 | 13 | 32 |
| Summer (TINT) | 1 | 4 | — |
| T4 | 4 | 12 | 32 |
| T5 (incl. CP1) | 5 | 17 | 36 |
| T6 (incl. CP2) | 5 | 17 | 36 |
| Total | 28 | 90 | — |
| Sem | Items | Cr | CH/wk |
|---|---|---|---|
| S1 + audit | 7 | 20 | 34 |
| S2 | 6 | 20 | 32 |
| Summer (TINT) | 1 | 4 | — |
| S3 (incl. CP1) | 7 | 23 | 38 |
| S4 (incl. CP2) | 7 | 23 | 38 |
| Total | 28 | 90 | — |
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.
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.
Establishes the core domain fundamentals. Cloud Practitioner, MongoDB Associate, Python PCAP, CompTIA Security+, NVIDIA DLI Deep Learning, Databricks Data Analyst.
Hands-on associate certifications demonstrating applied capability. AWS SAA, Azure AZ-104, MongoDB Node.js, NVIDIA RAG Agents, CompTIA PenTest+.
Professional certifications validating specialised expertise. CKAD, Databricks GenAI Pro, EC-Council CEH v13, Hyperledger Fabric Dev, GCP Pro Data Engineer.
Specialist-tier credentials for architect/leadership roles. AWS ML Specialty, OSCP, AWS DevOps Pro, AWS Data Analytics Specialty, GCP Pro ML Eng.
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.
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.
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.
OOP, modules, exceptions, file I/O, libraries. Industry-standard Python associate credential issued by the Python Institute (OpenEDG).
Document modelling, aggregation, indexing, transactions, drivers. Globally recognised by full-stack hiring managers across product and consulting firms.
Cloud concepts, AWS services, security, billing, architecture. Foundational cloud credential common to almost every campus-drive shortlist.
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.
| L | Timing | Advanced Track | Regular Track | Course 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 |
| L | Timing | Advanced Track | Regular Track | Course 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 |
| L | Timing | Advanced Track | Regular Track | Course 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 |
| L | Timing | Advanced Track | Regular Track | Course 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 |
| L | Timing | Advanced Track | Regular Track | Course 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 |
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 |
|---|---|---|---|---|---|
| MCA101 | PYPF | Python Programming I | Python PCAP-31-03 | Python Institute | Direct |
| MCA111 | PYPS | Python Programming II | Python PCPP-32-101 (Advanced) + LeetCode 200+ | Python Institute | Partial |
| MCA112 | FSPD | Full Stack Development I | MongoDB Associate Developer | MongoDB Inc. | Direct |
| MCA121 | FSMR | Full Stack Development II | MongoDB Associate Developer for Node.js | MongoDB Inc. | Direct |
| MCA113 | AIML | AI & Machine Learning | NVIDIA DLI Deep Learning | NVIDIA | Partial |
| MCA122 | ADRG | Applied DL, LLM & RAG | NVIDIA DLI Building RAG Agents with LLMs | NVIDIA | Direct |
| MCA201 | GAIP | GenAI API & AI Platform | Databricks Generative AI Engineer Professional | Databricks | Direct |
| MCA211 | AAFM | Agentic AI + FullStack + MCP | AWS Certified ML Specialty (MLS-C01) | AWS | Partial |
| MCA202 | DSAV | Data Science, Analytics & Viz | Tableau Desktop Specialist / Power BI PL-300 | Salesforce / Microsoft | Direct |
| MCA223 | DSSC | Data Science for Scale | Databricks Data Engineer Associate | Databricks | Direct |
| MCA102 | LXOS | Linux & OS Administration | Linux Foundation LFCS / Red Hat RHCSA | Linux Foundation / Red Hat | Direct |
| MCA103 | DBDA | Database & Distributed DB Admin | Oracle Database SQL Certified Associate | Oracle | Direct |
| MCA104 | CDVO | Cloud Admin & DevOps | AWS Certified Cloud Practitioner → SAA | AWS | Direct |
| MCA123 | HPCM | HPC & Cluster Management | Linux Foundation CKA / NVIDIA DLI Multi-GPU | CNCF / NVIDIA | Partial |
| MCA124 | ASEM | Adaptive SE with MLOps | Databricks ML Engineer Associate | Databricks | Direct |
| MCA114 | OFSC | Offensive Security | CompTIA Security+ → CompTIA PenTest+ | CompTIA | Direct |
| MCA213 | DFSC | Defensive Security | CompTIA CySA+ / Cisco CyberOps Associate | CompTIA / Cisco | Direct |
| MCA222 | DVSO | DevSecOps | AWS DevOps Engineer Pro / HashiCorp Terraform Assoc | AWS / HashiCorp | Partial |
| MCA212 | BCSC | Blockchain & Smart Contract | Certified Blockchain Developer (CBDE) | Blockchain Council / ConsenSys | Direct |
| MCA221 | W3DA | Web3 & dApp Development | Hyperledger Fabric Developer Advanced | Linux Foundation | Direct |
| MCA902 | CPS1 | Capstone I | (Track-dependent: students apply chosen-track L2/L3 cert in capstone) | n/a | Foundational |
| MCA903 | CPS2 | Capstone II | (Track-dependent: students apply chosen-track L3 cert in capstone) | n/a | Foundational |
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 |
|---|---|---|---|
| AWS | AWS Certified Cloud Practitioner (CLF-C02) | CDVO | Direct |
| AWS | AWS Solutions Architect Associate (SAA-C03) | CDVO PE-MSDS | Partial |
| AWS | AWS DevOps Engineer Professional | DVSO PE-SREO | Partial |
| AWS | AWS Certified ML Specialty (MLS-C01) | AIML ASEM AAFM | Partial |
| AWS | AWS Data Analytics Specialty | DSSC PE-ANEM | Partial |
| AWS | AWS Security Specialty | DVSO PE-CNZT | Partial |
| Microsoft | Azure Administrator (AZ-104) | CDVO | Partial |
| Microsoft | Azure Data Engineer Associate (DP-203) | DSAV DSSC | Direct |
| Microsoft | Power BI Data Analyst (PL-300) | DSAV | Direct |
| Google Cloud | GCP Professional ML Engineer | AIML ADRG GAIP | Partial |
| Google Cloud | GCP Professional Data Engineer | DSAV DSSC | Direct |
| Google Cloud | GCP Professional Cloud DevOps Engineer | DVSO PE-SREO | Direct |
| Python Institute | Python PCAP-31-03 | PYPF | Direct |
| MongoDB | MongoDB Associate Developer (Node.js) | FSPD FSMR | Direct |
| Oracle | Oracle DB SQL Certified Associate | DBDA | Direct |
| Linux Foundation | LFCS / RHCSA | LXOS | Direct |
| Linux Foundation / CNCF | CKAD / CKA | HPCM PE-MSDS | Direct |
| NVIDIA DLI | NVIDIA DLI Deep Learning | AIML | Partial |
| NVIDIA DLI | NVIDIA DLI Building RAG Agents with LLMs | ADRG | Direct |
| NVIDIA DLI | NVIDIA DLI Advanced Generative AI | GAIP | Direct |
| NVIDIA DLI | NVIDIA DLI Computer Vision Specialization | PE-CVMA | Direct |
| Databricks | Databricks Generative AI Engineer Pro | GAIP AAFM | Direct |
| Databricks | Databricks Data Engineer Associate / Pro | DSAV DSSC | Direct |
| Databricks | Databricks ML Engineer Associate | ASEM | Direct |
| CompTIA | CompTIA Security+ (SY0-701) | OFSC | Direct |
| CompTIA | CompTIA PenTest+ (PT0-003) | OFSC PE-ATHA | Direct |
| CompTIA | CompTIA CySA+ (CS0-003) | DFSC | Direct |
| EC-Council | Certified Ethical Hacker v13 (CEH) | DFSC PE-ATHA | Direct |
| Offensive Security | OSCP (PEN-200) | PE-ATHA DVSO | Partial |
| Cisco | Cisco CyberOps Associate (200-201) | DFSC | Direct |
| IAPP | CIPP/E or CIPM (Privacy) | PE-PVED | Direct |
| HashiCorp | HashiCorp Terraform Associate | DVSO CDVO | Partial |
| ConsenSys | ConsenSys Blockchain Developer Bootcamp | BCSC | Direct |
| Blockchain Council | Certified Blockchain Developer Ethereum (CBDE) | BCSC PE-DFTE | Direct |
| Linux Foundation | Hyperledger Fabric Developer Advanced | W3DA PE-EDLT | Direct |
| Snowflake | SnowPro Advanced Architect | DSSC PE-ANEM | Partial |
| dbt Labs | dbt Analytics Engineer Certificate | PE-ANEM | Direct |
| Confluent | Confluent Certified Developer for Kafka | PE-EDSP | Direct |
| Salesforce / Tableau | Tableau Desktop Specialist | DSAV | Direct |
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.
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.