St. Francis College for Women

Overview of the Course

M.Sc Data Science

This is a comprehensive postgraduate program designed to equip students with the knowledge and skills required to analyze, interpret, and manage complex data. The course blends statistics, computer science, artificial intelligence, and big data technologies to prepare graduates for solving real-world problems in diverse industries. Across two years, students will gain expertise in Python programming, data structures, algorithms, machine learning, deep learning, NLP, cloud computing, networking, and information security. Emphasis is placed on both theoretical foundations and practical applications, with hands-on projects and a capstone research project that integrates advanced data science techniques.

What will you Learn?

To collect, analyze, model, and interpret complex data using advanced statistical, computational, and AI/ML techniques.

Develop practical coding skills, cloud deployment knowledge, big data handling, and secure data practices.

Career Prospects

Data Science & Analytics Careers: Data Scientist, AI/ML Engineer, Big Data Engineer/Analyst, Data Analyst or Researcher, Business Intelligence (BI) Analyst, earning ₹8-18 LPA with specialized skills.
Emerging Tech Specializations: Social Media Analyst, NLP Specialist, Deep Learning Researcher, Information Security Analyst, Cloud Data Engineer, Network & Cloud Computing Specialist earning premium salaries of ₹15-35+ LPA.
Academic & Research Positions: Research Scientist, University Lecturer/Professor, with paths to PhD programs and academic leadership roles.
Industry Applications: Finance & Banking (fraud detection, risk modeling ₹12-25 LPA), Healthcare (medical imaging, drug discovery, predictive health analytics ₹10-20 LPA), Retail & E-commerce (recommendation systems, customer analytics ₹8-18 LPA), Government & Public Policy (data-driven governance, smart cities).
Entrepreneurship & Academia: With support from incubators and funding, students can develop startups, innovate life science products, and build careers in teaching, research, and academic leadership.

Program Structure

Program Structure (2023-26) ▼

Semester 1

Syllabus

▼

Course Type	Course Title	Course Code	L	P	Credits	CA	Sem End	Total Marks	Exam (hrs)
DSC	Fundamentals of Data Science	P24/CDS/DSC/101	3	0	3	40	60	100	2
DSC	Fundamentals of Data Science - Practical	P24/CDS/DSC/101/P	0	4	2	50	50	100	2
DSC	Statistics I	P24/CDS/DSC/102	3	0	3	40	60	100	2
DSC	Data Analysis Using R	P24/CDS/DSC/102/P	0	4	2	50	50	100	2
DSC	Python Programming	P24/CDS/DSC/103	3	0	3	40	60	100	2
DSC	Python Programming - Practical	P24/CDS/DSC/103/P	0	4	2	50	50	100	2
DSC	Data Structures	P24/CDS/DSC/104	3	0	3	40	60	100	2
DSC	Data Structures - Practical	P24/CDS/DSC/104/P	0	4	2	50	50	100	2
OE	Data Analytics	P24/CDS/OE/101	0	2	2 (NCGPA)	20	30	50	1

Semester 2

Syllabus

▼

Course Type	Course Title	Course Code	L	P	Credits	CA	Sem End	Total Marks	Exam (hrs)
DSC	Artificial Intelligence	P24/CDS/DSC/201	3	0	3	40	60	100	2
DSC	Artificial Intelligence - Practical	P24/CDS/DSC/201/P	0	4	2	50	50	100	2
DSC	Statistics II	P24/CDS/DSC/202	3	0	3	40	60	100	2
DSC	Python Tools for Data Science	P24/CDS/DSC/202/P	0	4	2	50	50	100	2
DSC	Networking and Cloud Computing	P24/CDS/DSC/203	3	0	3	40	60	100	2
DSC	Networking and Cloud Computing - Practical	P24/CDS/DSC/203/P	0	4	2	50	50	100	2
DSC	Algorithms	P24/CDS/DSC/204	3	0	3	40	60	100	2
DSC	Algorithms - Practical	P24/CDS/DSC/204/P	0	4	2	50	50	100	2
FC	Foundation Course	P24/CDS/FC/101	0	2	2 (NCGPA)	20	30	50	1

Semester 3

Syllabus

▼

Course Type	Course Title	Course Code	L	P	Credits	CA	Sem End	Total Marks	Exam (hrs)
DSC	Machine Learning	P24/CDS/DSC/301	3	0	3	40	60	100	2
DSC	Machine Learning - Practical	P24/CDS/DSC/301/P	0	4	2	50	50	100	2
DSC	Statistics III	P24/CDS/DSC/302	3	0	3	40	60	100	2
DSC	Object Oriented Design	P24/CDS/DSC/302/P	0	4	2	50	50	100	2
DSE	Big Data Analytics	P24/CDS/DSE/301	3	0	3	40	60	100	2
DSE	Big Data Analytics - Practical	P24/CDS/DSE/301/P	0	4	2	50	50	100	2
DSE	Blockchain Technology	P24/CDS/DSE/302	3	0	3	40	60	100	2
DSE	Blockchain Technology - Practical	P24/CDS/DSE/302/P	0	4	2	50	50	100	2
DSE	Social Media Analytics	P24/CDS/DSE/303	3	0	3	40	60	100	2
DSE	Social Media Analytics - Practical	P24/CDS/DSE/303/P	0	4	2	50	50	100	2
DSE	Sentiment Analysis	P24/CDS/DSE/304	3	0	3	40	60	100	2
DSE	Sentiment Analysis - Practical	P24/CDS/DSE/304/P	0	4	2	50	50	100	2
GE	General Elective	P24/CDS/GE/101	0	2	2 (NCGPA)	20	30	50	1

Semester 4

Syllabus

▼

Course Type	Course Title	Course Code	L	P	Credits	CA	Sem End	Total Marks	Exam (hrs)
DSC	Natural Language Processing	P24/CDS/DSC/401	3	0	3	40	60	100	2
DSC	Natural Language Processing - Practical	P24/CDS/DSC/401/P	0	4	2	50	50	100	2
DSC	Deep Learning	P24/CDS/DSC/402	3	0	3	40	60	100	2
DSC	Deep Learning - Practical	P24/CDS/DSC/402/P	0	4	2	50	50	100	2
DSE	Information Security	P24/CDS/DSE/401	3	0	3	40	60	100	2
DSE	Information Security - Practical	P24/CDS/DSE/401/P	0	4	2	50	50	100	2
DSE	Computer Vision	P24/CDS/DSE/402	3	0	3	40	60	100	2
DSE	Computer Vision - Practical	P24/CDS/DSE/402/P	0	4	2	50	50	100	2
PRJ	Project Work	P24/CDS/PRJ/401	0	5	5	50	100	150	2
NCGPA	Research Methodology (NCGPA)	-	0	0	2 (NCGPA)	-	-	-	-

Program Structure (w.e.f 2026-27) ▼

Semester 1

Syllabus

▼

Course Type	Course Title	Course Code	L (Lecture)	P (Practical)	Credits	Max Marks (CIA)	Max Marks (Sem End)	Total Marks	Duration (hrs)
DSC	AI & ML	P26/CDS/DSC/102	4	-	4	40	60	100	2.5
CC	AI & ML	P26/CDS/DSC/102/P	-	4	2	-	50	50	2
DSC	Applied data science with python	P26/CDS/DSC/101	4	-	4	40	60	100	2.5
DSC I	Applied data science with python	P26/CDS/DSC/101/P	-	4	2		50	50	2
DSC	Design and Analysis of Algorithms	P26/CDS/DSC/103	4	-	4	40	60	100	2.5
DSC	Design and Analysis of Algorithms	P26/CDS/DSC/103/P	-	4	2	-	50	50	2
DSC	Cloud Computing	P26/CDS/DSC/104	3	-	3	40	60	100	2.5
DSC	Cloud Computing	P26/CDS/DSC/104/P	-	4	2	-	50	50	2
GE	Data Analytics &Visualization	P26/CDS/GE/101	-	2	2	20	30	50	1

Semester 2

Syllabus

▼

Course Type	Course Title	Course Code	L (Lecture)	P (Practical)	Credits	Max Marks (CIA)	Max Marks (Sem End)	Total Marks	Duration (hrs)
DSC	Data Mining and Pattern Discovery	P26/CDS/DSC/201	4	-	4	40	60	100	2.5
DSC	Data Mining and Pattern Discovery	P26/CDS/DSC/201/P	-	4	2	-	50	50	2
DSC	Natural Language Processing	P26/CDS/DSC/202	4	-	4	40	60	100	2.5
DSC	Natural Language Processing	P26/CDS/DSC/202/P	-	4	2	-	50	50	2
DSC	Big Data Analytics and Distributed Systems	P26/CDS/DSC/203	4	-	4	40	60	100	2
DSC	Big Data Analytics and Distributed Systems	P26/CDS/DSC/203/P	-	4	2	-	50	50	2
DSC	Deep Learning	P26/CDS/DSC/204	4	-	4	40	60	100	2
DSC	Deep Learning	P26/CDS/DSC/204/P	-	4	2	-	50	50	2

Guest lectures and seminars content here.