St. Francis College for Women

Overview of the Course

Maths/Statistics/Computer Science

This comprehensive program integrates Statistics, Mathematics, and Computer Science, forming the core foundation of modern problem-solving, research, and technological innovation. Through a balanced blend of theoretical learning and practical sessions, students gain deep insights into contemporary developments shaping today’s digital world

Students engage in hands-on Elective and Skill Enhancement courses across all three disciplines, designed to build strong analytical and computational foundations for emerging fields. Practical training with industry-relevant tools such as SPSS, R, and Python refines learners into proficient and adaptable professionals.

The program empowers students to work effectively with data across diverse domains—including clinical trials, market research, artificial intelligence, and data modeling—opening pathways to dynamic and rewarding careers in the data-driven global economy.

What will you Learn?

Mathematics sharpens logical thinking and problem-solving.

Critical thinking and interdisciplinary Problem solving.

Research methodology and Data analysis.

Tools to understand, Analyze and interpret the data.

Statistical Analysis Using MS-Excel, SPSS,R , Python and Power BI.

Learn how to tackle real-world challenges by building tools, apps, and systems.

Career Prospects

Software Development / AI / Cryptography – Maths is the heart of coding, cybersecurity, and AI.Math grads often become strong coders and engineers.
Research and Academia – Provides a rewarding career path in Academia. Provides opportunities to pursue postgraduate studies, engage in teaching or research positions at universities, research institutes focusing on emerging technologies dealing with data.
Data Analytics and Technology – Openings in companies hiring Statistics and Computer science graduates as data scientists, data analysts, software developers etc.
Business and Consultation – Opportunities as management consultants, business data analysts, or policy advisors which requires critical problem-solving skills.
Entrepreneurship and Startups – The skills acquired in cost-benefit analysis, market research, and resource allocation are key in launching and sustaining new ventures/Start-ups.

Program Structure

Semester I ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (Sem End)	Total	Duration (hrs)
CC	English	U24/ENG/CC/101	5	0	5	40	60	100	2
CC	Second Language	U24/SL/CC/101	5	0	5	40	60	100	2
AECC	Basic Computer Skills	U24/BCS/AECC/101	2	0	2	0	50	50	1
DSC I A	Differential & Integral Calculus	U24/MAT/DSC/101	4	0	4	40	60	100	2
DSC I A (P)	Differential & Integral Calculus - Practical	U24/MAT/DSC/101/P	0	2	1	0	50	50	2
DSC I B	Descriptive Statistics & Probability Theory	U24/STA/DSC/101	4	0	4	40	60	100	2
DSC I B (P)	Descriptive Statistics & Probability Theory - Practical	U24/STA/DSC/101/P	0	2	1	0	50	50	2
DSC I C	Programming in C	U24/CSC/DSC/101	4	0	4	40	60	100	2
DSC I C (P)	Programming in C - Practical	U24/CSC/DSC/101/P	0	2	1	0	50	50	1
NCGPA	Indian Knowledge System (IKS)	U24/IKS/AECC/101	1	0	1	0	25	25	1

Semester II ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (Sem End)	Total	Duration (hrs)
CC	English	U24/ENG/CC/201	5	0	5	40	60	100	2
CC	Second Language	U24/SL/CC/201	5	0	5	40	60	100	2
AECC	EVS	U24/EVS/AECC/201	2	0	2	0	50	50	1
DSC II A	Differential Equations	U24/MAT/DSC/201	4	0	4	40	60	100	2
DSC II A (P)	Differential Equations - Practical	U24/MAT/DSC/201/P	0	2	1	0	50	50	2
DSC II B	Probability Distributions	U24/STA/DSC/201	4	0	4	40	60	100	2
DSC II B (P)	Probability Distributions - Practical	U24/STA/DSC/201/P	0	2	1	0	50	50	2
DSC II C	Data Structures	U24/CSC/DSC/201	4	0	4	40	60	100	2
DSC II C (P)	Data Structures - Practical	U24/CSC/DSC/201/P	0	2	1	0	50	50	1
NCGPA	Human Values	U24/HV/AECC/201	1	0	1	0	25	25	1

Semester III ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (Sem End)	Total	Duration (hrs)
CC	English	U24/ENG/CC/301	5	0	5	40	60	100	2
CC	Second Language	U24/SL/CC/301	5	0	5	40	60	100	2
DSC III A	Abstract Algebra	U24/MAT/DSC/301	4	0	4	40	60	100	2
DSC III A (P)	Abstract Algebra - Practical	U24/MAT/DSC/301/P	0	2	1	0	50	50	2
SEC I	Graph Theory	U24/MAT/SEC/301	2	0	2	20	30	50	1
DSC III B	Statistical Methods	U24/STA/DSC/301	4	0	4	40	60	100	2
DSC III B (P)	Statistical Methods - Practical	U24/STA/DSC/301/P	0	2	1	0	50	50	2
SEC I	Statistical Analysis Using MS-Excel	U24/STA/SEC/301	0	2	2	20	30	50	1
DSC III C	Programming in JAVA	U24/CSC/DSC/301	4	0	4	40	60	100	2
DSC III C (P)	Programming in JAVA - Practical	U24/CSC/DSC/301/P	0	2	1	0	50	50	2
SEC I	Web Designing	U24/CSC/SEC/301	0	2	2	20	30	50	1

Semester IV ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (Sem End)	Total	Duration (hrs)
CC	English	U24/ENG/CC/401	5	0	5	40	60	100	2
CC	Second Language	U24/SL/CC/401	5	0	5	40	60	100	2
DSC IV A	Real Analysis	U24/MAT/DSC/401	4	0	4	40	60	100	2
DSC IV A (P)	Real Analysis - Practical	U24/MAT/DSC/401/P	0	2	1	0	50	50	2
SEC II	Vector Calculus	U24/MAT/SEC/401	2	0	2	20	30	50	1
DSC IV B	Testing of Hypothesis	U24/STA/DSC/401	4	0	4	40	60	100	2
DSC IV B (P)	Testing of Hypothesis - Practical	U24/STA/DSC/401/P	0	2	1	0	50	50	2
SEC II	Statistical Analysis Using SPSS	U24/STA/SEC/401	0	2	2	20	30	50	1
DSC IV C	Database Management Systems	U24/CSC/DSC/401	4	0	4	40	60	100	2
DSC IV C (P)	Database Management Systems - Practical	U24/CSC/DSC/401/P	0	2	1	0	50	50	2
SEC II	Data Analysis and Visualization	U24/CSC/SEC/401	0	2	2	20	30	50	1

Semester V ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (Sem End)	Total	Duration (hrs)
DSE I A	Linear Algebra	U24/MAT/DSE/501	4	0	4	40	60	100	2
	Practical	U24/MAT/DSE/501/P	0	2	1	0	50	50	2
	Analytical Solid Geometry	U24/MAT/DSE/502	4	0	4	40	60	100	2
	Practical	U24/MAT/DSE/502/P	0	2	1	0	50	50	2
GE	Mathematical Methods	U24/MAT/GE/501	4	0	4	40	60	100	2
SEC III	Elementary Number Theory	U24/MAT/SEC/501	2	0	2	20	30	50	1
DSE I B	Applied Statistics - I	U24/STA/DSE/501	4	0	4	40	60	100	2
	Practical	U24/STA/DSE/501/P	0	2	1	0	50	50	2
	Time Series Analysis	U24/STA/DSE/502	4	0	4	40	60	100	2
	Practical	U24/STA/DSE/502/P	0	2	1	0	50	50	2
GE	Operations Research	U24/STA/GE/501	4	0	4	40	60	100	2
SEC III	Statistical Analysis Using R	U24/STA/SEC/501	0	2	2	20	30	50	1
DSE I C	Web Technologies using JAVA	U24/CSC/DSE/501	4	0	4	40	60	100	2
	Practical	U24/CSC/DSE/501/P	0	2	1	0	50	50	1
	Introduction to Data Science	U24/CSC/DSE/502	4	0	4	40	60	100	2
	Practical	U24/CSC/DSE/502/P	0	2	1	0	50	50	1
GE	Fundamentals of AI and ML	U24/CSC/GE/501	4	0	4	40	60	100	2
SEC III	PHP with MYSQL	U24/CSC/SEC/501	0	2	1	20	30	50	1

Semester VI ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (Sem End)	Total	Duration (hrs)
DSE II A	Complex Variables	U24/MAT/DSE/601	4	0	4	40	60	100	2
	Practical	U24/MAT/DSE/601/P	0	2	1	0	50	50	2
	Numerical Analysis	U24/MAT/DSE/602	4	0	4	40	60	100	2
	Practical	U24/MAT/DSE/602/P	0	2	1	0	50	50	2
SEC IV	Logic & Sets	U24/MAT/SEC/601	2	0	2	20	30	50	1
PRJ	Project	U24/MAT/PRJ/601	4	0	4	40	60	100	-
DSE II B	Applied Statistics - II	U24/STA/DSE/601	4	0	4	40	60	100	2
	Practical	U24/STA/DSE/601/P	0	2	1	0	50	50	2
	Actuarial Statistics	U24/STA/DSE/602	4	0	4	40	60	100	2
	Practical	U24/STA/DSE/602/P	0	2	1	0	50	50	2
SEC IV	Statistical Techniques in Research Methods	U24/STA/SEC/601	0	2	2	20	30	50	1
PRJ	Project	U24/STA/PRJ/601	4	0	4	40	60	100	-
DSE II C	Python Programming	U24/CSC/DSE/601	4	0	4	40	60	100	2
	Practical	U24/CSC/DSE/601/P	0	2	1	0	50	50	2
	Data Mining	U24/CSC/DSE/602	4	0	4	40	60	100	2
	Practical	U24/CSC/DSE/602/P	0	2	1	0	50	50	2
SEC IV	Cyber Security	U24/CSC/SEC/601	0	2	2	20	30	50	1
PRJ	Project	U24/CSC/PRJ/601	4	0	4	40	60	100	-

Guest lectures and seminars content here.

B.Sc MSCS

Overview of the Course

Maths/Statistics/Computer Science

What will you Learn?

Career Prospects

Program Structure