B Sc (M.S.Cs)

  • To enhance the students reasoning, analytical and problem solving skills
  • To identify and solve significant problems across a broad range of application areas.
  • To help students gain the ability to identify, formulate and solve challenging problems in hardware and software systems

1st Year Program Structure

  1. Human Values and Professional Ethics
  2. Mathematics-I (Differential Calculus) Theory
  3. Mathematics-I (Differential Calculus) Practical
  4. Statistics-I (Descriptive Statistics, Probability & Random variable) Theory
  5. Statistics-I (Descriptive Statistics, Probability & Random variable) Practical
  6. Computer Science-I (Object Oriented Programming using C ++) Theory
  7. Computer Science-I (Object Oriented Programming using C ++) Practical
  1. Indian Heritage and Culture
  2. Mathematics-II:Differential Equations (Theory)
  3. Mathematics-II:Differential Equations (Practical)
  4. Statistics-II: Mathematical Expectations & Probability Distributions (Theory)
  5. Statistics-II:  Mathematical Expectations & Probability Distributions (Practical)
  6. Computer Science-II:Data Structures and file processing (Theory)
  7. Computer Science-II:Data Structures and file processing (Practical)

2nd Year Program Structure

  1. Environmental Studies
  2. Mathematics-III: Real Analysis (Theory)
  3. Mathematics-III: Real Analysis (Practical)
  4. Statistics-III: Correlation, Regression & Estimation theory (Theory)
  5. Statistics-III: Correlation, Regression & Estimation theory (Practical)
  6. Computer Science-III: Numerical Computing (Theory)
  7. Computer Science-III: Numerical Computing (Practical)
  8. Elective I
    1. Vector Calculus (Mathematics)
    2. Linear Programming Problems (Mathematics)
    3. Index Numbers & Introduction to R – Programming (Stats)
  1. Science & Civilization
  2. Mathematics-IV: Algebra (Theory)
  3. Mathematics-IV: Algebra (Practical)
  4. Statistics-IV : Statistical Inference  (Theory)
  5. Statistics-IV : Statistical Inference (Practical)
  6. Computer Science-IV: Design and Analysis of Algorithms (Theory)
  7. Computer Science-IV: Design and Analysis of Algorithms (Practical)
  8. Elective I:
    1. Multiple Integral (Mathematics)
    2. Transportation, Assignment Problems and Job sequencing (Mathematics)
    3. Time Series (Stats)

3rd Year Program Structure

Elective I:
  1. Mathematics-V: (Theory)
    1. Numerical Analysis
    2. Complex Analysis.
  2. Mathematics-V: (Practical)
    1. Numerical Analysis
    2. Complex Analysis
Elective II
  1. Statistics-V (Theory)
    1. Sampling Techniques & Vital statistics
    2. Operations Research.
  2. Statistics-V : (Practical)
    1. Sampling Techniques & Vital Statistics
    2. Operations Research.
Elective III
  1. Computer Science-V (Theory)
    1. Operating Systems
    2. Data Mining
    3. Cryptography
  2. Computer Science-V (Practical)
    1. Operating Systems
    2. Data Mining
    3. Cryptography
Elective IV
  1. Numerical Methods (Mathematics)
  2. Number Theory (Mathematics)
  3. Linear Programming Problems (Stats)
  4. ComputerGraphics (Computer Science)
  5. Electronic Commerce (Computer Science)
Elective I
  1. Mathematics-VI: (Theory)
    1. Linear Algebra
    2. Matrices
  2. Mathematics-VI:(Practical)
    1. Linear Algebra
    2. Matrices
Elective II
  1. Statistics-VI: (Theory)
    1. SQC & Designs of Experiment
    2. Demand Analysis, Reliability & Official Statistics
  2. Statistics-VI : (Practical)
    1. SQC & Designs of Experiment
    2. Demand Analysis, Reliability &Official Statistics
Elective III
  1. Computer Science-VI (Theory)
    1. Information Security
    2. Database Applications
    3. Computer Networks
  2. Computer Science-VI (Practical)
    1. Information Security
    2. Database Applications
    3. Computer Networks
Elective IV
  1. Project (Mathematics / Statistics / Computer Science)