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B.Sc MSCS

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Overview of Course What will you Learn Career Prospects Program Structure

Overview of the Course

Maths/Statistics/Computer Science

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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

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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.

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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

Program Structure (2023-26) ▼
Semester 1 PDF Syllabus
▼
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 2 PDF Syllabus
▼
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 3 PDF Syllabus
▼
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 4 PDF Syllabus
▼
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 5 PDF Syllabus
▼
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 6 PDF Syllabus
▼
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 -
Program Structure (w.e.f 2026-27) ▼
Semester 1 PDF Syllabus
▼
Course Type Course Title Course Code L (Lecture) P (Practical) Credits Max Marks (CIA) Max Marks (Sem End) Total Marks Duration (hrs)
AEC English U26/ENG/AEC/101 5 0 5 40 60 100 2
CC Second Language U26/SL/CC/101 5 0 5 40 60 100 2
DSC I Differential Equations U26/MAT/DSC/101 4 - 4 40 60 100 2
DSC I Differential Equations U26/MAT/DSC/101/P - 2 1 50 50 2
DSC I Basic Statistics & Probability U26/STA/DSC/101 4 - 4 40 60 100 2
DSC I Basic Statistics & Probability U26/STA/DSC/101/P - 2 1 - 50 50 2
DSC I Programming in C U26/CSC/DSC/101 4 - 4 40 60 100 2
DSC I Programming in C U26/CSC/DSC/101/P - 2 1 - 50 50 2
Semester 2 PDF Syllabus
▼
Course Type Course Title Course Code L (Lecture) P (Practical) Credits Max Marks (CIA) Max Marks (Sem End) Total Marks Duration (hrs)
AEC English U26/ENG/AEC/201 5 0 5 40 60 100 2
CC Second Language U26/SL/CC/201 5 - 5 40 60 100 2
DSC II Real Analysis U26/MAT/DSC/201 4 - 4 40 60 100 2
DSC II Real Analysis U26/MAT/DSC/201/P - 2 1 - 50 50 2
DSC II Probability Distributions U26/STA/DSC/201 4 - 4 40 60 100 2
DSC II Probability Distributions U26/STA/DSC/201/P - 2 1 - 50 50 2
DSC II Data Structures U26/CSC/DSC/201 4 - 4 40 60 100 2
DSC II Data Structures U26/CSC/DSC/201/P - 2 1 - 50 50 2
Guest lectures and seminars content here.
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  • +91 40 23403200 / / 7702504433
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  • info@sfc.ac.in
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