• MASTER OF COMMERCE (M.Com.)
    • Part I (Click here for Syllabus)
    Sr.No. Semester I Sr.No. Semester II
    1.1 Strategic Management 2.1 Research Methodology for Business
    1.2 Economics for Business Decision 2.2 Macro Economics concepts and Applications
    1.3 Cost and Management Accounting 2.3 Corporate Finance
    1.4 Business Ethics and Corporate Social Responsibility 2.4 E-Commerce

    Part II  (Click here for Syllabus)
    Group A: Advanced Accounting, Corporate Accounting and Financial Management
    Sr.No. Semester III* Sr.No. Semester IV**
    3.1 Advanced Financial Accounting 4.1 Corporate Financial Accounting
    3.2 Direct Tax 4.2 Indirect Tax- Introduction of Goods and Service Tax
    3.3 Advanced Cost Accounting 4.3 Financial Management
    3.4 Project Work - I 4.4 Project Work - II
    *List of group of Elective Courses (EC) for Semester III (Any Three out of Five)
    ** List of group of Elective Courses (EC) for Semester IV (Any Three out of Five)

     

    Part II  (Click here for Syllabus)
    Group B: Business Studies (Management)
    Sr.No. Semester III* Sr.No. Semester IV**
    3.1 Human Resource Management 4.1 Advertising and Sales Management
    3.2 Entrepreneurial Management 4.2 Retail Management
    3.3 Marketing Strategies and Practices 4.3 Tourism Management
    3.4 Project Work - I 4.4 Project Work - II
    *List of group of Elective Courses (EC) for Semester III (Any Three out of Five)
    ** List of group of Elective Courses (EC) for Semester IV (Any Three out of Five)
  • MASTER OF SCIENCE (M.Sc.I.T.)
    • Part I (Click here for Syllabus)
    Sr.No. Semester I Sr.No. Semester II
    1.1 Research in Computing 2.1 Big Data Analytics
    1.2 Data Science 2.2 Modern Networking
    1.3 Cloud Computing 2.3 Microservices Architecture
    1.4 Soft Computing Techniques 2.4 Image Processing
    1.5 Research in Computing Practical 2.5 Big Data Analytics Practical
    1.6 Data Science Practical 2.6 Modern Networking Practical
    1.7 Cloud Computing Practical 2.7 Microservices Architecture Practical
    1.8 Soft Computing Techniques Practical 2.8 Image Processing Practical

    Part II  (Click here for Syllabus)
    Sr.No. Semester III Sr.No. Semester IV
    3.1 Technical Writing and Entrepreneurship Development 4.1 Blockchain
    3.2 Applied Artificial Intelligence 4.2 Natural Language Processing
    3.3 Machine Learning 4.3 Deep Learning
    3.4 Robotic Process Automation 4.4 Human Computer Interaction
    3.5 Project Documentation and Viva 4.5 Blockchain Practical
    3.6 Applied Artificial Intelligence Practical 4.6 Natural Language Processing Practical
    3.7 Machine Learning Practical 4.7 Deep Learning Practical
    3.8 Robotic Process Automation Practical 4.8 Project Implementation and Viva