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M.Sc Computer Science (AI & ML)

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Overview of Course What will you Learn Career Prospects Program Structure

Overview of the Course

M.Sc Computer Science (AI & ML)

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The Postgraduate Program in Computer Science (AI & ML) equips students with strong theoretical and practical skills in AI, ML, and emerging technologies. The first year focuses on core subjects like Data Science, AI, ML, Java, Algorithms, and Cloud Computing, along with electives and foundation courses for skill enhancement. In the second year, students explore advanced topics such as Deep Learning, IoT, NLP, Reinforcement Learning, and Expert Systems, with options to specialize through electives like Blockchain, Big Data, and Computer Vision. The program includes a Research Paper and Capstone Project, preparing graduates for careers in AI, data science, and software development.

What will you Learn?

Strong foundation in programming, algorithms, and mathematical reasoning.

Practical experience with AI, Machine Learning, and Deep Learning models.

Familiarity with cutting-edge technologies such as Blockchain, Internet of Things (IoT), and Cloud Computing platforms.

Knowledge of Information Security and Networking protocols.

Understanding of specialized AI domains.

Strong grasp of software design and object-oriented principles.

Proficiency in data analysis and retrieval systems.

Research and academic writing experience.

Project development and real-world problem-solving skills.

Career Prospects

  • Core AI & ML Roles: Machine Learning Engineer, Data Scientist/Data Analyst, Artificial Intelligence Engineer, Deep Learning Engineer (TensorFlow, PyTorch), NLP Engineer building chatbots and language models earning ₹8-25 LPA.
  • Software & Development Roles: Full Stack Developer/Software Engineer (Java, OOP), Cloud Engineer/DevOps Engineer, Computer Vision Engineer, IoT Developer designing smart devices earning ₹6-20 LPA.
  • Cybersecurity & Infrastructure: Information Security Analyst/Ethical Hacker, Network Engineer, Big Data Engineer/Analyst (Hadoop, Spark), Blockchain Developer designing decentralized applications earning ₹12-30 LPA.
  • Research & Academia: Research Assistant/Research Scientist (MS/PhD paths), Technical Content Developer/Educator in CS and AI fields earning ₹5-15 LPA advancing to ₹20+ LPA.
  • Other Opportunities: Product Manager (AI/Tech), Entrepreneur/Startup Founder leveraging interdisciplinary knowledge earning ₹15-40+ LPA.
  • Industries Hiring AI & ML Graduates: Tech Giants (Google, Microsoft, Amazon, Meta), Startups in AI/FinTech/HealthTech/EdTech, Automotive (Self-driving tech), Finance (AI trading, fraud detection ₹15-35 LPA), Healthcare (AI diagnostics, bioinformatics), E-commerce (Recommendation systems).
  • Future-Ready Skillset: AI and Machine Learning are driving technological innovation with in-demand skills for future-proof careers. Interdisciplinary applications span healthcare, finance, robotics, cybersecurity, agriculture with cutting-edge curriculum blending core computer science, algorithms, data structures, and modern technologies (Deep Learning, NLP, IoT, Cloud, Blockchain).
  • Research & Innovation Opportunities: Training in research methodologies and publication ideal for advanced degrees (MS, PhD) or R&D roles.
  • High Employability & Salary Potential: AI/ML professionals are among the highest-paid tech professionals earning ₹3.9-28 LPA average with strong demand across startups, tech giants, and research institutions. Data Science roles specifically earn ₹8-18 LPA entry-level advancing to ₹25-40+ LPA for specialized positions.
  • Diverse Careers & Higher Studies: Graduates can work in research, healthcare, agriculture, industry, environment, and bioinformatics, or pursue advanced degrees (MSc, MS, PhD), competitive exams, and global opportunities earning ₹15-35+ LPA.
  • Entrepreneurship & Academia: With support from incubators and funding, students can develop startups, innovate life science products, and build careers in teaching, research, and academic leadership.
  • Chemistry & Biochemistry Careers: Chemistry Educator, Research Fellow, Lab/Project Assistant, Computational Chemist, Patent Officer, Quality Control Officer, Food Safety Officer and Regulatory Affairs Specialist earning ₹3-15 LPA, advancing to ₹20+ LPA as specialists.
  • Research & Healthcare Careers: Opportunities in research labs, diagnostic centers, hospitals, and pharmaceutical/biotech industries as research assistants, clinical biochemists, or lab technicians earning ₹3.5-12 LPA. Hybrid roles combining biotechnology with data science command premium salaries of ₹18-40+ LPA.
  • Higher Studies & Specialized Fields: Scope to pursue MSc/PhD in Biochemistry, Biotechnology, Molecular Biology, or related areas leading to careers in academia, drug discovery, nutrition, or plant sciences with salaries reaching ₹15-35+ LPA.
  • Global Relevance: AI is a global field enabling opportunities for international work, collaboration, or further studies abroad. Personalized learning pathways offer electives in Computer Vision, Reinforcement Learning, Blockchain, and specialized AI domains tailored to career goals.
  • Hands-On Learning: Practical exposure through projects, labs, research papers, and real-world problem-solving using modern tools like TensorFlow, PyTorch, OpenCV, cloud platforms, and bioinformatics software (GATK, PROVEAN).

Program Structure

Semester I ▼
Course Type Course Title Course Code Hours/Week (L) Hours/Week (P) Credits Max Marks (CIA) Max Marks (Sem End) Total Duration (hrs)
DSCFundamentals of Data ScienceP24/CAI/DSC/10130340601002.5
DSCFundamentals of Data Science - PracticalP24/CAI/DSC/101/P042050502
DSCMathematics for AIP24/CAI/DSC/10230340601002.5
DSCMathematics for AI - PracticalP24/CAI/DSC/102/P042050502
DSCArtificial IntelligenceP24/CAI/DSC/10330340601002.5
DSCArtificial Intelligence - PracticalP24/CAI/DSC/103/P042050502
DSCAdvanced Java ProgrammingP24/CAI/DSC/10430340601002.5
DSCAdvanced Java Programming - PracticalP24/CAI/DSC/104/P042050502
OE OE P24/CAI/OE/101 0 2 2 NCGPA 20 30 50 1
Semester II ▼
Course Type Course Title Course Code Hours/Week (L) Hours/Week (P) Credits Max Marks (CIA) Max Marks (Sem End) Total Duration (hrs)
DSCNetwork and Cloud ComputingP24/CAI/DSC/20130340601002.5
DSCNetwork and Cloud Computing - PracticalP24/CAI/DSC/201/P042050502
DSCAlgorithmsP24/CAI/DSC/20230340601002.5
DSCAlgorithms - PracticalP24/CAI/DSC/202/P042050502
DSCInformation SecurityP24/CAI/DSC/20330340601002.5
DSCInformation Security - PracticalP24/CAI/DSC/203/P042050502
DSCMachine LearningP24/CAI/DSC/20430340601002.5
DSCMachine Learning - PracticalP24/CAI/DSC/204/P042050502
FC FC P24/CAI/FC/101 0 2 2 NCGPA 20 30 50 1
Semester III ▼
Course Type Course Title Course Code Hours/Week (L) Hours/Week (P) Credits Max Marks (CIA) Max Marks (Sem End) Total Duration (hrs)
DSCDeep LearningP24/CAI/DSC/30130340601002.5
DSCDeep Learning - PracticalP24/CAI/DSC/301/P042050502
DSCIOTP24/CAI/DSC/30230340601002.5
DSCIOT - PracticalP24/CAI/DSC/302/P042050502
DSEBlockchain TechnologyP24/CAI/DSE/30130340601002.5
DSEBlockchain Technology - PracticalP24/CAI/DSE/301/P042050502
DSEBig Data AnalyticsP24/CAI/DSE/30230340601002.5
DSEBig Data Analytics - PracticalP24/CAI/DSE/302/P042050502
DSEObject Oriented DesignP24/CAI/DSE/30330340601002.5
DSEObject Oriented Design - PracticalP24/CAI/DSE/303/P042050502
DSEComputer VisionP24/CAI/DSE/30430340601002.5
DSEComputer Vision - PracticalP24/CAI/DSE/304/P042050502
GE GE P24/CAI/GE/101 0 2 2 NCGPA 20 30 50 1
Semester IV ▼
Course Type Course Title Course Code Hours/Week (L) Hours/Week (P) Credits Max Marks (CIA) Max Marks (Sem End) Total Duration (hrs)
DSCInformation Retrieval SystemsP24/CAI/DSC/40130340601002.5
DSCInformation Retrieval Systems - PracticalP24/CAI/DSC/401/P042050502
DSCNatural Language ProcessingP24/CAI/DSC/40230340601002.5
DSCNatural Language Processing - PracticalP24/CAI/DSC/402/P042050502
DSEReinforcement LearningP24/CAI/DSE/40130340601002.5
DSEReinforcement Learning - PracticalP24/CAI/DSE/401/P042050502
DSEExpert SystemsP24/CAI/DSE/40230340601002.5
DSEExpert Systems - PracticalP24/CAI/DSE/402/P042050502
PRJProjectP24/CAI/PRJ/40105550100150-
NCGPAResearch Paper-022 NCGPA000-
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