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Fees Details

General

₹ 1.40 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

The M.Sc. in Data Science and Artificial Intelligence offered by BITS Pilani Digital is a two-year online degree designed for professionals who aspire to master data-driven decision-making and artificial intelligence applications. The programme blends academic rigour with real-world projects, enabling learners to build strong expertise while continuing their careers.

The curriculum of the M.Sc. in Data Science and Artificial Intelligence at BITS Pilani Digital is tailored for working professionals and encompasses projects that emphasise practical exposure. Learners engage through self-paced modules, supported by live weekend classes and optional campus immersion for enhanced interaction. With a flexible trimester format, the programme structure ensures participants gain both technical depth and applied experience to thrive in data science and AI careers.

Programme Offerings

online learning
Industry-aligned curriculum
Internships
Electives
Capstone Project
Campus immersion
Global alumni network access
Career support via IGNITE Career Cell

Eligibility Criteria

To enrol in the BITS Pilani Digital M.Sc. in Data Science and Artificial Intelligence, candidates must meet all the eligibility criteria.

For Indian Students

Must hold a bachelor’s degree in Science, Engineering, or a related field with Mathematics as one of the subjects.
Should have secured at least 60% marks or equivalent.
Students currently enrolled in a STEM postgraduate programme with Mathematics are also eligible.
No age limit and no work experience required.
Must have proficiency in English, as classes are conducted in English.

For International Students

Must hold a three-year undergraduate degree with Mathematics, securing 60% or 6.0 CGPA or above from a recognised university.
An Equivalence Certificate from AIU/UGC or a similar authority is mandatory for non-Indian degrees.
After provisional admission, candidates must submit a passport copy and equivalence certificate.
No age limit and no prior work experience required.
Must be comfortable in English, as the programme is taught in English.

Admission Details

The admission process for Online M.Sc. in Data Science and Artificial Intelligence at BITS Pilani Digital is conducted entirely online. Eligible candidates have to fill in an online application form, pay the application fee, and upload supporting documents.

Application Details

Here is the step-wise admission process for the BITS Pilani Digital B.Sc. in Data Science and Artificial Intelligence:

Visit the official website and click on Apply Now
Register with a valid email address and mobile number
Fill in academic and personal details accurately
Upload required documents such as identification proof, a photograph, and transcripts
Select M.Sc. in Data Science and Artificial Intelligence and confirm the intake session
Pay the application fee and submit
Track status on the portal and wait for admission confirmation

The Syllabus

The BITS Pilani syllabus for online M.Sc. in Data Science and Artificial Intelligence is structured across six trimesters over two years. The programme covers core courses and electives in various specialisation areas. The detailed syllabus for the programme is given below.

Trimester 1

Statistical Modelling and Inferencing
Data Pre-processing
Feature Engineering
Data Visualisation and Storytelling
Data Stores and Pipelines
Advanced Apex Project I

Machine Learning
Artificial Neural Networks
ML Model Engineering
Specialisation (Vertical): Mandatory Course

OR Elective

Advanced Apex Project II

Big Data Platforms & Analytics
Deep Learning
Natural Language Processing & Understanding
Specialisation (Vertical): Mandatory Course

OR Elective

Advanced Apex Project III

Trimester 4

Elective
Elective
Elective

Elective

MDS Capstone Project

MDS Thesis

0–4 Electives AND/OR MDS Internship

MDS Thesis

General Electives

Cloud Services and Platforms
Distributed Data Systems
Data Annotations and Labelling
Information Retrieval

Specialisation Electives (Vertical): BFSI

Fundamentals of Finance
AI and ML Functions in Finance
Applied Financial Analytics - I
Applied Financial Analytics - II
Financial Risk Analytics - I
Financial Risk Analytics - II
Analytics for Insurance
Analytics for Retail Management
Advanced Topics in Finance
Management of Banks and Financial Institutions

Specialisation Electives (Vertical): Retail and eCommerce

Principles of Marketing
Optimization Methods for Analytics
Analytics for Retail Management
Analytics for E-Commerce
Marketing Analytics
Pricing Analytics
Digital Marketing Strategies and Analytics
Supply Chain Analytics

Specialisation Electives (Vertical): Healthcare

Healthcare Data Analytics
Data Annotations and Labelling
Intelligent Clinical Decision Support Systems
AI in Community Health
AI in Medical Systems
Transitioning to Intelligent Healthcare Practices
GenAI Applications
Emerging Trends in Intelligent Healthcare

Specialisation Electives (Horizontal): AI and Software Lifecycle

Software Engineering Practices
ML in Software Process Optimization
ML in Software Quality Assurance
Computational Intelligence for Software Engineering
Model Optimization for Deployment
AI and SDLC - Emerging Trends
GenAI Applications

Specialisation Electives (Horizontal): Intelligent Interactions and Interfaces

Conversational AI Applications
AR/VR Interfacing
Language-Augmented eXtended Reality (XR)
AR/VR and MR
GenAI Applications

Specialisation Electives (Horizontal): Cloud and SaaS for AI

Model Optimization for Deployment
Cloud-Native AI Application Development
Data on the Cloud
Cloud Economics
SaaS for AI
Cloud Services and Platforms

Specialisation Electives (Horizontal): AI Products

GenAI-based Products
AI Business Models
Product Management for AI
Product Analytics
SaaS for AI
Ethics in Data Science

Evaluation Process

BITS Pilani Digital conducts trimester end exams. The exams are conducted in-person at officially designated BITS Pilani exam centres in India. Trimester-end exams held on weekends (Fridays, Saturdays, or Sundays). For each course, students can choose between two date and time options. Students need to follow the published schedule, rules, and guidelines.

Exam Centres (24 centres, 4 zones):

South Zone: Bangalore, Chennai, Hyderabad, Thiruvananthapuram, Vijayawada
North Zone: Chandigarh, Dehradun, Delhi NCR, Jaipur, Jammu, Lucknow, Pilani, Srinagar
West Zone: Ahmedabad, Goa, Mumbai, Nagpur, Pune
East Zone: Bhubaneswar, Guwahati, Jamshedpur, Kolkata, Ranchi, Silchar

For International students, online proctored exams are conducted. Students can take the exam from their country of residence. Students must have a computer or laptop with high-speed, stable internet.