Integrated B.Sc. (Hons.) – M.Sc. Data Science | GSFC University, Vadodara
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Integrated B.Sc. (Hons.) – M.Sc. Data ScienceHome / B.Sc. - M.Sc. Data Science

About The Program
Program Objectives
Program Outcomes
Career Opportunities
Program Structure
Course Structure
Admission Process
Coordinators
E-Centre

About The Program

 

Flexible. Interdisciplinary. Future-Ready..

The Integrated B.Sc.–M.Sc. Data Science Program is a future-oriented, NEP-aligned program designed to develop strong analytical, computational, and problem-solving skills for the data-driven world. The program offers flexible exit options, allowing students to earn recognized qualifications at different stages:

  • After 3 Years: B.Sc. Data Science
  • After 4 Years: B.Sc. (Hons.) Data Science
  • After 5 Years: Integrated B.Sc. (Hons.) – M.Sc. Data Science

This progressive structure enables students to build a strong foundation in data science, while gaining expertise in high-demand interdisciplinary domains, aligned with the vision of NEP 2020.

Program Objectives

 
 

Provide strong foundational and advanced knowledge in data science, mathematics, statistics, and computational intelligence.

 

Develop research, analytical, and problem-solving skills to interpret complex datasets and design innovative AI-driven solutions.

 

Promote ethical practices, leadership, and societal responsibility in the handling of data, ensuring privacy, security, and transparent AI deployment.

 

Prepare graduates for careers in industry, academia, entrepreneurship, and research, equipping them with the skills to lead in a rapidly evolving digital world.

Program Outcomes

 
 

Data Science Knowledge: Apply foundational and advanced theoretical concepts in mathematics, statistics, and computing to address complex, multi-dimensional real-world data problems.

 

Data Engineering & Computational Systems: Design, develop, and deploy efficient computational programs and scalable data engineering solutions using modern programming languages, cloud-native platforms, and distributed computing frameworks.

 

Analytical Thinking & Problem Solving: Execute rigorous end-to-end data analysis, utilizing statistical inference and critical thinking to extract actionable insights and drive evidence-based decision-making.

 

Intelligent Systems & AI: Design, implement, and evaluate machine learning and deep learning models to create intelligent solutions for predictive and automated applications.

 

Data Storytelling & Communication: Communicate complex analytical results effectively through professional reporting, interactive visualizations, and strategic data storytelling for diverse stakeholders.

 

Professional & Ethical Responsibility: Adhere to legal, ethical, and privacy standards in data handling, ensuring accountability and integrity in the deployment of data-driven solutions.

Interdisciplinary Application: Integrate data science methodologies across diverse domain areas—such as business, healthcare, and engineering—to foster innovation and cross-functional problem solving.

Continuous Learning & Professional Adaptability: Cultivate a mindset of lifelong learning and technological agility to effectively navigate and adapt to the rapidly evolving landscape of data science and AI technologies in professional or academic contexts.

Program Highlights

 
 

UGC & NEP-aligned curriculum with continuous updates by academic and industry experts.

 

Semester-wise internships providing strong industry exposure.

 

Learning from industry professionals and academic leaders.

 

Integration of NPTEL and skill-based modules.

 

Access to advanced, world-class laboratory and computing infrastructure.

 

Focus on innovation, analytics, and real-world problem solving.

Career Opportunities

 
 

Industry Roles: Data Scientist, Data Administrator, Data Architect, and Business Intelligence Developer.

 

Research & Development: AI Researcher and Research Associate in advanced domains such as Natural Language Processing, Computer Vision, and Robotics.

 

Big Data & Cloud Engineering: Data Engineer, Cloud Solutions Architect, and Big Data Analyst in large-scale enterprise environments.

 

Entrepreneurship: Founder of AI-driven startups, Data Consultancy services, and Innovative Tech ventures..

 

Higher Studies & Global Research: Advanced doctoral studies (Ph.D.), specialized international certifications, and academic research positions..

Program Structure

 
 

A 5-year (10-semester) program integrating core courses, electives, internships, viva, and dissertation, with a strong emphasis on experiential and industry-linked learning.

  • Multiple Exit Options: After 3rd, 4th or 5th year
  • Internships: From 2nd to 5th semesters (progressive exposure)
  • Dissertation/Project: Final years.

Shape the Future with Data: This integrated program equips students with cutting-edge data science skills, industry exposure, and analytical expertise, preparing them to excel in analytics, AI, research and emerging technology domains in a rapidly evolving digital world.

In the context of theory classes, one credit represents a one-hour lecture per week. On the other hand, for practical sessions, one credit corresponds to a two-hour laboratory session per week.

To obtain a B.Sc. Data Science Degree (3 Years), students are required to complete a minimum of 141 credits. For those aiming for a B.Sc. Data Science Honours Degree, a minimum of 186 credits must be fulfilled, and the student opting for 5-Year Integrated B.Sc. (Hons.) – M.Sc. Data Science Program, the students are required to fulfil minimum 222 credits.

 

Evaluation

Evaluation methods encompass both internal and external assessments. The assessment structure comprises Internal Assessment, which is a continuous evaluation component (CEC), and External Assessment, specifically the End Semester Examination. Each course is allocated a total of 100 marks for theory, with 60 marks allocated for Internal Assessment and 40 marks for the End Semester Examination. Additionally, practical components carry an extra 50 marks. Internal assessment is conducted through multiple methods such as Quiz, classroom tests, assignments, oral presentations, and short projects.

Course Structure

 
 
Curriculum Structure
Sr. No. Category of Course B.Sc. B.Sc. (H) B.Sc. - M.Sc.
1 Major 72          96        118
2 Minor 24 32 32
4 Ability Enhancement Compulsory Course 10 10 10
5 Skill Enhancement Compulsory Course 8 10 10
6 Skill Enhancement Compulsory Course 13 13 13
6 Interdisciplinary 12 12 12
7 Research Work  4 15 29
Total 143 188 224
 
Semester – II
Sr. No. Course Code Course Title L T P C Marks
A. Ability Enhancement Compulsory Course
1 AECC201 Communication Skills in English 2 0 0 2 100
B. Skill Enhancement Courses
2 SECC201 Internship - I (Excel for Data Analysis) 0 0 2 2 100
C. Major Courses
3 BMD0201 Mathematics for DS – II (Linear Algebra) 3 1 0 4 100
4 BMD0202 Data Structures using Python 3 0 1 4 150
5 BMD0203 Statistics – II 3 0 1 4 150
D. Minor Courses
6 BMD0204 Business Environment 3 0 0 3 100
E. Interdisciplinary Courses
7 - Philosophy 2 0 0 2 100
F. Value Added Courses
8 VACC201 Tinkering Mentoring 0 0 1 1 100
9 VACC202 Indian Constitution 2 0 0 2 100
Total 24 1000
 
Semester – IV
Sr. No. Course Code Course Title L T P C Marks
A. Ability Enhancement Compulsory Course
1 AECC401 Disaster Risk Management 2 0 0 2 100
B. Skill Enhancement Courses
2 SECC401 Patent Review(REEP) 0 0 2 2 100
C. Major Courses
3 BMD0401 Mathematics for DS – IV (Numerical Methods using MATLAB) 3 1 0 4 150
4 BMD0402 Machine Learning - I 3 0 1 4 150
5 BMD0403 Advanced Database Management Systems 3 0 1 4 150
D. Minor Course
6 BMD0404 Domain Elective II (Digital Marketing/Bioinformatics Basics) 2 0 1 3 150
E. Interdisciplinary Courses
7 - Financial Literacy 2 0 0 2 100
F. Value Added Courses
8 VACC401 Presentation & Placement Skills 2 0 0 2 100
Total 23 1000
 
Semester – VI
Sr. No. Course Code Course Title L T P C Marks
A. Major Courses
1 BMD0601 Deep Learning 3 0 1 4 150
2 BMD0602 Time Series Analysis 3 0 1 4 150
3 BMD0603 Image Processing 3 0 1 4 150
C. Minor Courses
4 BMD0604 Healthcare Analytics/Social Media Analytics 2 0 1 3 150
5 BMD0605 Internet of Things 2 0 1 3 150
D. Interdisciplinary Courses
6 - Geographical Information System 2 0 0 2 100
E. Research Work 
8 - Project - I 0 0 4 4 200
Total 24 1050
 
Semester – VII
Sr. No. Course Code Course Title L T P C Marks
A. Skill Enhancement Courses
1 SECC601 Internship - IV (ML/DL) 0 0 2 2 100
B. Major Courses
2 BMD0701 Optimization Techniques 3 0 1 4 150
3 BMD0702 Natural Language Processing 3 0 1 4 150
4 BMD0703 Cloud Computing 3 0 1 4 150
C. Minor Courses
5 BMD0704 Business Intelligence 3 0 0 3 100
6 BMD0705 Ethics in Data Science 2 0 0 2 100
D. Research Work 
7 - Research / Project - II 0 0 2 2 100
8 - Research Methodology 3 0 0 3 100
Total 24 950
 
Semester – VIII
Sr. No. Course Code Course Title L T P C Marks
A. Major Courses
1 BMD0801 Computer Vision 3 0 1 4 150
2 BMD0802 Cyber Security 3 0 1 4 150
3 BMD0803 Machine Learning Operations 3 0 1 4 150
B. Minor Courses
4 BMD0803 Acturial Statistics 2 1 0 3 100
C. Research Work
5 - Research / Project - III 0 0 6 6 200
Total 21 750
 
Semester – IX
Sr. No. Course Code Course Title L T P C Marks
A. Major Courses
1 BMD0901 Generative AI 2 0 1 3 150
2 BMD0902 Prompt Engineering 3 0 1 4 150
3 BMD0903 AI Automation & Intelligent Systems 3 0 1 4 150
4 BMD1001 Explainable AI (XAI) 2 0 1 3 150
5 BMD1002 Reinforcement Learning 3 0 1 4 150
6 BMD1003 Blockchain Technology 3 0 1 4 150
C. Research Work
7 - Master's Research / Internship 0 0 2 2 100
Total 24 1000
 
Semester – X
Sr. No. Course Code Course Title L T P C Marks
C. Research Work
1 - Master's Research 0 0 12 12 400
Total 12 400

Admission Process

 
 
Total Intake: 35 Seats
Mode of Admission: Merit Based
Qualifying Examination: 10+2 (Science/Commerce) or equivalent from a recognized board (excluding NIOS)

Eligibility for Admission

  • Qualification: 10+2 (Science/Commerce) or equivalent from a recognized board (excluding NIOS) 
  • Minimum Eligibility: 55% aggregate marks
  • Direct Admission: 60% and above (first-come, first-served basis)
  • Students from IGCSE/IB or international boards are eligible with an equivalence certificate from the Association of Indian Universities (AIU), New Delhi
 

Registration Fees

The registration fee for submitting online application form is Rs. 600/- (Rupees Six Hundred Only), which is to be paid online. Apply Now

Coordinators

 
 

Dr. Trupti Gajaria

Program Coordinator
 - pc.bscdatascience@gsfcuniversity.ac.in

Dr. Ankit Sudhir

Admission In-Charge
 - ankit.sudhir@gsfcuniversity.ac.in

E-Centre

 

Program Brochure

University Brochure

Detailed Curriculum