5-year Integrated B. Sc, M. Sc degrees in Artificial Intelligence
Overview of the programme
Artificial intelligence, and Data Science are rapidly changing the world, with applications in fields ranging from autonomous vehicles, finance (FinTech), marketing, logistics and supply chain, fraud detection and personalized medicine to personal assistants, epidemiology, precision agriculture, industrial robots & automation, and last but not the least, smart appliances. LNMIIT has led the higher education in India academic roadmap and is now setting up a state-of-the-art International Centre of Artificial Intelligence (LICAI) in the field of Artificial Intelligence, a Centre of Excellence involving cutting edge technologies in academics, research, and innovation to focus in areas of AI and Data Science. It is only natural, then, that the International Centre of Artificial Intelligence (LICAI) would offer programmes like:
1. 5-year Integrated B. Sc, M. Sc degrees in Artificial Intelligence
2. 5-year Integrated B. Sc, M. Sc degrees in Data Science
Both the above programmes mostly focus on how complex inputs — such as vision, language, huge databases, and raw unstructured data — can be used to make business decisions or enhance human capabilities. The curriculum includes coursework not only in computer science, mathematics, statistics, computational modelling, machine learning and artificial Intelligence algorithms, but also in business domains like FinTech, Marketing, Optimization in Logistics, Colour Technology, agriculture, and healthcare to name a few business domains. Because LNMIIT is devoted to and believes in Artificial Intelligence and Data Science for social good, the Program also blends in a few courses on ethics, social responsibility and policy making, with the option to participate in independent study projects that change the world for the better.
The Program will be conducted by practitioners from reputed industries, LICAI faculty, and faculty from LNMIIT’s existing departments. Faculty members from reputed foreign universities will also be involved in these programs to give our students of global learning experience, in India.
The curriculum is developed by industry and academic experts jointly to address the ever-growing gaps between academic institutions and industries. The curriculum is focused mostly on practical, skill-based learning rather than theoretical knowledge. The focus of these programs is to make most of the students, industry ready rather than only focusing on research-oriented output. However, as you know research also is an important and integral part of academics and is part of our institute, we will focus on research in different areas of technologies, research, including higher studies abroad for deserving outstanding students.
Program contents
LICAI, LNMIIT 5-Year Integrated M.Sc. in AI Courses | Course Credits |
Semester I (1st Year, 1st Semester) | |
Physics Fundamentals ( or Classical Physics) | 3 |
Mathematics for AI and DS | 4 |
Data Visualization and Story telling | 2 |
Communication and Soft-skills for Professionals | 3 |
Introduction to Programming | 4 |
Introduction to Computer Science | 4 |
Technical Communication in English | 3 |
Total Credits | 23 |
Semester II (1st Year, 2nd Semester) | |
Spreadsheet for data processing and automation | 3 |
Vectors and Linear Algebra | 3 |
Computer Science Applications | 4 |
Human Values and Ethics | 2 |
Probability and Statistics | 3 |
Discrete Structures | 3 |
Data Structures and Algorithms | 3 |
Total Credits | 21 |
Semester III (2nd Year, 1st Semester) | |
Statistical Inference | 3 |
Introduction to Artificial Intelligence | 4 |
Advanced Applied Physics | 3 |
Principles of Management | 3 |
Object Oriented Programming | 2 |
Design and Analysis of Algorithms | 3 |
Total Credits | 18 |
Semester IV (2nd Year, 2nd Semester) | |
Database Management Systems | 3 |
Data driven Decision making | 3 |
Introduction to Neural Networks | 3 |
Mobile and web App Development | 3 |
Constitutional Studies | 1 |
Introduction to IoT | 3 |
Data Wrangling – ETL | 2 |
Introduction to Machine Learning | 4 |
Total Credits | 22 |
Semester V (3rd Year, 1st Semester) | |
Psychology, Technology & Society | 3 |
Introduction to Cloud Computing – AWS | 3 |
Knowledge Intensive Systems | 4 |
Pattern Recognition | 3 |
Big Data Analytics | 3 |
Deep Learning | 3 |
Total Credits | 19 |
Semester VI (3rd Year, 2nd Semester) | |
Development of AI enable applications | 3 |
Numerical Analysis and Scientific Computing | 4 |
Natural Language Processing | 3 |
Multimedia Processing and Applications | 3 |
Introduction to Finance | 3 |
Large Language Models | 2 |
Introduction to Research Methodology | 3 |
Total Credits | 21 |
Semester VII (4th Year, 1st Semester) | |
Introduction to Economics | 3 |
Program Elective 1 | 3 |
Introduction to Marketing | 3 |
Literature review Research paper | 2 |
Program Elective 2 | 3 |
Open Elective 1 | 3 |
Optimization Techniques and Applications | 3 |
Total Credits | 20 |
Semester VIII (4th Year, 2nd Semester) | |
Seminar and Presentation Skills | 2 |
Innovations | 3 |
Program Elective 3 | 3 |
Capstone project | 3 |
Program Elective 4 | 3 |
Open Elective 2 | 3 |
Generative AI | 3 |
Continue of capstone project | 3 |
Total Credits | 23 |
Semester IX (5th Year, 1st Semester) | |
Modelling and Simulation | 3 |
Program Elective 5 | 3 |
Open Elective 3 | 3 |
Model deployment | 3 |
Introduction to supply chain and logistics | 2 |
Program Elective 6 | 3 |
Open Elective 4 | 3 |
Total Credit | 20 |
Semester X (5th Year, 2nd Semester) | |
Two Industry/Research/Fieldwork/ or any other form of Internship of eleven weeks’ duration each or single with five and half months duration | 20 |
Total Credits | 20 |
Total Credits for the program | 207 |