5-year Integrated B. Sc, M. Sc degrees in Data Science
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
| B.Sc. – M.Sc. (Integrated) in Data Science | ||||||||
| 1st Semester: | ||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | |
| 1 | Fundamentals of Physics | BSC | 3 | 1 | 0 | 4 | ||
| 2 | Calculus and Ordinary Differential Equations | BSC | 3 | 1 | 0 | 4 | ||
| 3 | Data Visualization and Storytelling | PC | 1 | 0 | 2 | 2 | ||
| 4 | Introduction to Programming | PC | 3 | 0 | 2 | 4 | ||
| 5 | Introduction to Computer Science | PC | 3 | 1 | 0 | 4 | ||
| 6 | Technical Communication in English | HSMC | 2 | 0 | 2 | 3 | ||
| 7 | Indian Knowledge System | MC | 1 | 0 | 0 | 1 | ||
| A 3-week Mandatory Induction Program | ||||||||
| Total Credits | 22 | |||||||
| 2nd Semester: | ||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | |
| 1 | HS121 | Human Values and Ethics | HSMC | 3 | 0 | 0 | 3 | |
| 2 | ME121 | Environmental Science | MC | 1 | 0 | 0 | 1 | |
| 3 | Spreadsheets and Automation | PC | 2 | 0 | 2 | 3 | ||
| 4 | Linear Algebra | BSC | 3 | 0 | 0 | 3 | ||
| 5 | Modern Physics and Applications | BSC | 3 | 1 | 0 | 4 | ||
| 6 | Discrete Mathematics | PC | 3 | 0 | 0 | 3 | ||
| 7 | Data Structures and Algorithms in Python | PC | 3 | 0 | 2 | 4 | ||
| Total Credits | 21 | |||||||
| Summer Term | ||||||||
| Exit option with UG Certificate* by Completing 40 credits from 2 semesters and additional 6 credits from an Internship or skill based courses in the summer term | ||||||||
| 3rd Semester: | ||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | |
| 1 | MT211 | Probability and Statistics | BSC | 3 | 1 | 0 | 4 | |
| 2 | Introduction to Data Science | PC | 3 | 0 | 2 | 4 | ||
| 3 | Object Oriented Software Development | PC | 3 | 0 | 0 | 3 | ||
| 4 | Design and Analysis of Algorithms | PC | 3 | 0 | 2 | 4 | ||
| 5 | Mobile App and Web Development | PC | 2 | 0 | 2 | 3 | ||
| 6 | Database Management Systems | PC | 3 | 0 | 2 | 4 | ||
| Total Credits | 22 | |||||||
| 4th Semester: | ||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | |
| 1 | Principles of Management | HSMC | 3 | 0 | 0 | 3 | ||
| 2 | Statistical Inferences | PC | 2 | 0 | 2 | 3 | ||
| 3 | Data-driven Decision Making | PC | 3 | 0 | 0 | 3 | ||
| 4 | Topics in Computer Science | PC | 3 | 1 | 0 | 4 | ||
| 5 | Internet of Things | PC | 3 | 0 | 0 | 3 | ||
| 6 | Machine Learning | PC | 3 | 0 | 2 | 4 | ||
| Total Credits | 20 | |||||||
| Summer Term | ||||||||
| Exit option with UG Diploma by Completing 80 credits from 4 semesters and additional 6 credits from an Internship or skill based courses in the summer term | ||||||||
| 5th Semester: | ||||||||||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | |||||||||
| 1 | HS311 | Data Warehousing | PC | 3 | 1 | 0 | 4 | |||||||||
| 2 | Psychology, Technology & Society | HSMC | 3 | 0 | 0 | 3 | ||||||||||
| 3 | Information Retrieval and Web Search | PC | 3 | 1 | 0 | 4 | ||||||||||
| 4 | Advanced Statistics | PC | 3 | 0 | 0 | 3 | ||||||||||
| 5 | Big Data Analytics | PC | 3 | 0 | 0 | 3 | ||||||||||
| 6 | Deep Learning | PC | 2 | 0 | 2 | 3 | ||||||||||
| Total Credits | 20 | |||||||||||||||
| 6th Semester: | ||||||||||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | |||||||||
| 1 | HS221 | Constitutional Studies | MC | 1 | 0 | 0 | 1 | |||||||||
| 2 | HS321 | Introduction to Economics | HSMC | 3 | 0 | 0 | 3 | |||||||||
| 3 | LN322 | Data Intensive Systems | PC | 2 | 0 | 2 | 3 | |||||||||
| 4 | Numerical Analysis and Scientific Computing | PC | 3 | 1 | 0 | 4 | ||||||||||
| 5 | Business Analytics | PC | 3 | 0 | 2 | 4 | ||||||||||
| 6 | Multimedia Processing and Applications | PC | 3 | 0 | 0 | 3 | ||||||||||
| 7 | Program Elective – 1 | PE | 3 | 0 | 0 | 3 | ||||||||||
| Total Credits | 21 | |||||||||||||||
| Summer Term | ||||||||||||||||
| Exit option with B.Sc. by Completing 120 credits from 6 semesters and addional 6 credits from an Internship or skill based courses in the summer term | ||||||||||||||||
| 7th Semester: | ||||||||||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | |||||||||
| 1 | LN311/LN 312 | Summer Internship/Project | Project | 0 | 0 | 8 | 4 | |||||||||
| 2 | Cloud Computing | PC | 2 | 0 | 2 | 3 | ||||||||||
| 3 | Vector Databases | PC | 3 | 0 | 0 | 3 | ||||||||||
| 4 | Model Deployment (MLOps) | PC | 2 | 0 | 2 | 3 | ||||||||||
| 5 | Introduction to Supply Chain and Logistics | HSMC | 3 | 0 | 0 | 3 | ||||||||||
| 6 | Program Elective – 2 | PE | 3 | 0 | 0 | 3 | ||||||||||
| 7 | Open Elective – 1 | OE | 3 | 0 | 0 | 3 | ||||||||||
| Total Credits | 22 | |||||||||||||||
| 8th Semester: | ||||||||||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | |||||||||
| 1 | LN322 | Seminar and Presentation Skills | Project | 0 | 0 | 2 | 1 | |||||||||
| 2 | Introduction to Marketing | HSMC | 3 | 0 | 0 | 3 | ||||||||||
| 3 | Innovations and Design Thinking | PC | 3 | 1 | 0 | 4 | ||||||||||
| 4 | M.Sc. Project | Project | 0 | 0 | 8 | 4 | ||||||||||
| 5 | Large Data Generation & Augmentation | PC | 3 | 0 | 0 | 3 | ||||||||||
| 6 | Program Elective – 3 | PE | 3 | 0 | 0 | 3 | ||||||||||
| 8 | Research Methodology and IPR | PC | 2 | 0 | 0 | 2 | ||||||||||
| Total Credits | 20 | |||||||||||||||
| 9th Semester: | ||||||||||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | |||||||||
| 1 | M.Sc. Project | Project | 0 | 0 | 12 | 6 | ||||||||||
| 3 | Program Elective – 3 | PE | 3 | 0 | 0 | 3 | ||||||||||
| 4 | Program Elective – 4 | PE | 3 | 0 | 0 | 3 | ||||||||||
| 5 | Open Elective – 2 | OE | 3 | 0 | 0 | 3 | ||||||||||
| Open Elective – 3 | OE | 3 | 0 | 0 | 3 | |||||||||||
| 6 | Open Elective – 4 | OE | 3 | 0 | 0 | 3 | ||||||||||
| Total Credits | 21 | |||||||||||||||
| 10th Semester: | |||||||||||
| S. No. | CCODE | Course Name | Type | L | T | P | Credits | ||||
| Option 1 | LN421 | Industrial SLI | Project | 0 | 0 | 24 | 12 | ||||
| Option 2 | LN422 | Capstone Project | 0 | 0 | 24 | 12 | |||||
| Total Credits | 12 | ||||||||||
| Total Curriculum Credits | 201 | ||||||||||
| Credits under different categories of courses | |||||
| Type of Course | Credits | Percentage | |||
| BSC Credits = | 19 | 9.4 | |||
| HSMC Credits = | 21 | 10.4 | |||
| PC Credits = | 105 | 52.0 | |||
| PE Credits = | 15 | 7.4 | |||
| OE Credits = | 12 | 5.9 | |||
| Project Credits = | 27 | 13.4 | |||
| Mandatory Credits | 3 | 1.5 | |||
| Total | 202 | 100 |