Department of M.Sc. AI & Intelligent Systems (PG)
Introduction
The Department of Artificial Intelligence and Intelligent Systems is committed to advancing education and research in intelligent computing by integrating core concepts from computer science, mathematics, and data science. It equips students with both theoretical knowledge and practical skills in areas such as machine learning, deep learning, natural language processing, and intelligent automation. Emphasizing innovation, industry collaboration, and ethical AI practices, the department prepares graduates to solve real-world challenges and contribute effectively to the rapidly evolving digital landscape.
Faculty
Dr Santhosh B
Mr Brill Brenhil
Anju M Antony
Programme Objectives
The M.Sc. (Intelligent Systems & AI) programme aims to:
- Develop strong foundations in Artificial Intelligence, mathematics, and statistics to enhance analytical and problem-solving capabilities in complex computational domains.
- Enable learners to design, implement, and evaluate intelligent algorithms using machine learning, deep learning, and optimization techniques for real-world applications.
- Equip students with the skills to manage, process, and analyze structured and unstructured data using modern database systems and big data technologies.
- Provide hands-on experience in developing, testing, and deploying intelligent systems using appropriate programming languages, tools, and frameworks.
- Foster ethical awareness, research aptitude, and professional practices to support responsible innovation and interdisciplinary collaboration in AI-driven environments.
Programme Structure
Duration: 2 years (4 semesters)
Mode: Full-time postgraduate programme
Internship & Dissertation: Mandatory research internship and project in Semester IV.
Curriculum Snapshot (2026-2027)
Semester I
| Mathematical Foundations for AI |
| Probability and Statistics for AI |
| Foundations of AI and Intelligent Systems |
| Statistics and AI Foundations Lab |
| Problem Solving using Python |
| Data Structures and Algorithms |
| Python Programming and DSA Lab |
| Technical Writing and Presentation |
Semester II
| Neural Networks & Deep Learning |
| Computer Vision and Visual Intelligence Systems |
| Deep Learning and Computer Vision Lab |
Elective 1:
|
Elective 2:
|
Lab on Elective:
|
| Value-Based Decision Making for Intelligent Systems |
| Research Methodology and Publication Ethics |
| Artificial Intelligence for Software Engineers |
Semester III
| Reinforcement Learning and Foundation Models |
| Responsible and Explainable AI Systems |
| Advanced AI and Responsible Systems Lab |
| Data Engineering with PySpark |
| PySpark Lab |
Electives:
|
| AI Entrepreneurship and Innovation |
| Cloud and Edge AI Computing |
Semester IV
| Mini Project and Domain Technical Seminar |
| Project Planning and Progress Review |
| Project Work – Dissertation |
| Title of the Collaborative Activity | Name of the Collaborating Agency with Contact Details | Name of the Participant | Duration | Link to the Relevant Document |
|---|---|---|---|---|
| Dr. Shine P Varkey collaborates with NCAAH, Cochin University of Science & Technology and RGCB, Trivandrum for research | NCAAH, Cochin University of Science & Technology and RGCB, Trivandrum | Dr. Shine P Varkey |
| Company (Internship) | No of Students Selected |
|---|---|
| IIIT Delhi, New Delhi | 1 |
| Mresult, Mangalore | 1 |
| SETV LLP, Hyderabad | 1 |
| Biofield Power Private Limited, IIT Ropar, Punjab | 1 |
| Shivaji University, Kolhapur | 1 |
| OmicsGen LifeSciences Pvt Ltd, Kochi, Kerala | 22 |
| Yenopoya Research Centre, Deralakatte, Mangalore | 2 |
| Research | ||||||||
|
1 ) Mr Harshit Sajal worked as a Bioinformatics Research Intern under the guidance of Dr Seema Mishra at the University of Hyderabad on the project, titled "Carmofur for Glioblastoma: Structural, Quantitative, and Energetic Analysis of Acid Ceramidase Inhibitors with Molecular Modeling and Machine Learning," focused on investigating Carmofur as a therapeutic agent for glioblastoma. |
| Ongoing Research Projects | ||||||||
|
1 ) Transcriptomic Alterations in Non-Small Cell Lung Cancer 2) Comparative Transcriptomic Profiling of Breast Cancer Subtypes |
| Students Achievements | ||||||||
|
1 ) Abhiksha Shetty (24251201) First year MSc Bioinformatics student made oral presentation on the selected abstract topic titled “Exploring the Interaction Landscape of WSSV VP28- Antibody: Computational and Molecular Perspectives” at INDIA NETHERLANDS collaborative Program SPARCS on 20th March 2025 2)Harshit Sajal, second year MSc Bioinformatics student selected as an IASC-INSA- NASI Summer Research Fellow- 2024, a prestigious fellowship program jointly organized by the Indian Academy of Sciences, Indian National Science Academy, and National Academy of Sciences, India. Worked as a Bioinformatics Research Intern under the esteemed guidance of Dr. Seema Mishra at the University of Hyderabad. 3)Thirteen Students of second year MSc underwent 2 weeks training program in ‘Single Cell Technology and Bioinformatics Applications’ in RGCB during November- December 2024 |