B.Sc Computer Science (Artificial Intelligence and Data Science)

  • Areas of Placement opportunity
    • Placement opportunity as Data Scientist
    • Machine Learning Engineer
    • Research Scientist
    • Business Intelligence Developer
    • Big data engineering
    • Robotics Scientist
    • Software Developer
    • Software Tester
    • Network Administrator
  • Entrepreneur opportunity / about alumni entrepreneur
    • Alumni working in TCS, Infosys, CTS, Capgemini, etc…
  • Higher Education opportunities
    • Higher Education opportunities like MCA, MS, MBA, M.Sc.( IT)
S.No. Sem Part Sub Type Course Code Course Name Credit Hours INT EXT Total
1 1 1 L1   Language – I 3 5 50 50 100
2 1 2 L2   English – I 3 5 50 50 100
3 1 3 Core    Core Course – I Theory Problem Solving Techniques using C 4 5 50 50 100
4 1 3 Core     Core Course – II Theory / Practical 
Programming Lab in C 		4 4 50 50 100
5 1 3 Allied   Allied-I Mathematics for Computer Science 4 5 50 50 100
6 1 4 SEC   Skill Enhancement Courses – I Database Management System / Practical – Database Management system Lab 4 4 50 50 100
7 1 4 AEC   Ability Enhancement Course I
Environmental Studies or
Universal Human Values & Professional Ethics 		2 2 50 0 50
            24 30 350 300 650
1 2 1 L1   Language – II 3 5 50 50 100
2 2 2 L2   English – II 3 5 50 50 100
3 2 3 Core    Core  Course – III Theory Java Programming
(or) Python Programming 		4 5 50 50 100
4 2 3 Core     Core  Course – IV Theory / Practical Java Programming Lab
(or) Python Programming Lab 		4 4 50 50 100
5 2 3 Elective   Elective  – I
Entrepreneurship Development
(or) Data Structures 		4 4 50 50 100
6 2 3 Allied   Allied-II Operations Research
(or) Discrete Mathematics 		4 5 50 50 100
7 2 4 AEC   Ability Enhancement Course II
Design Thinking 		2 2 50 0 50
8 2 5 Ext   Extension Activity – I (NASA) 1 0 25 0 25
            25 30 375 300 675
1 3 1 L1   Language – III 3 4 50 50 100
2 3 2 L2   English – III 3 4 50 50 100
3 3 3 Core    Core  Course – V Theory Software Engineering
(or) Analytics Using Excel 		4 6 50 50 100
4 3 3 Core     Core  Course – VI Theor y / Practical Software Engineering Lab
(or) Analytics Using Excel Lab 		4 4 50 50 100
5 3 3 Allied   Allied-III Numerical Methods
(or) Quantitative Aptitude 		4 5 50 50 100
6 3 4 SEC   Skill Enhancement Courses – II Practical / Training 
Ethical Hacking
(or)  Fundamentals of Data Science 		4 5 50 50 100
7 3 4 AEC   Ability Enhancement Course III
Soft Skill-1 		2 2 50 0 50
8 3 3 ITR   Internship / Industrial Training
(Summer vacation at the end of II semester activity) 		2 0 50 0 50
9 3 5 Ext   Extension Activity – II (NASA) 1 0 25 0 25
            27 30 425 300 725
1 4 1 L1   Language – IV 3 4 50 50 100
2 4 2 L2   English – IV 3 4 50 50 100
3 4 3 Core    Core Course – VII Theory 
PHP and MySQL
(or) Deep Learning 		4 6 50 50 100
4 4 3 Core     Core Course – VIII Theory / Practical
PHP and MySQL
(or) Deep Learning 		4 4 50 50 100
5 4 3 Allied   Allied-IV Satistics and Probability
(or) Industrial Statistics 		4 5 50 50 100
8 4 3 Elective    Elective – II 
i) Data Communication and Networking
ii) R Programming
iii) Remote Process Automation Tools
(or) Computer Networks 		4 5 50 50 100
7 4 4 AEC   Ability Enhancement Course IV
Soft Skill-2 		2 2 50 0 50
8 4 5 Ext   Extension Activity – III (NASA) 1 0 25 0 25
            25 30 375 300 675
1 5 3 Core    Core  Course – IX Theory Python Programming
(or) Natural Language Processing 		4 6 50 50 100
2 5 3 Core     Core Course – X Theory / Practical 
RDBMS Lab
(or) Natural Language Processing Lab  		4 6 50 50 100
3 5 3 Elective     Elective – III
Option 1 Datamining Option2 Principles Of Compiler Design Option 3 Optimization Techniques
(or) Optimization Techniques 		4 6 50 50 100
  5 3 PRJ   Project 0 6 0 0 0
4 5 4 SEC   Skill Enhancement Courses – III Practical / Training 
Database management -MongoDB
(or) Data Visualization 		4 6 50 50 100
5 5 3 ITR   Internship / Industrial Training – (Summer vacation at the end of IV semester activity) 2 0 50 0 50
6 5 5 Ext   Extension Activity – IV ( NASA ) 1 0 25 0 25
            19 30 275 200 475
1 6 3 Core    Core Course – XI Theory Machine Learning
(or) Big data Analytics 		4 6 50 50 100
2 6 3 Core     Core Course – XII Theory / Practical 
Machine Learning Lab
(or) Big data Analytics Lab 		4 4 50 50 100
3 6 3 Elective    Elective – IV 
Elective – Option 1 Software Project Management Option2 Cyptocurrency And Blockchain Technology Option 3 Computer Networks
(or) Prompt Engineering  		4 6 50 50 100
4 6 3 PRJ   Core Project 8 8 100 100 200
5 6 4 SEC   Skill Enhancement Courses – IV Practical / Training  
Artificial Neural Networks
(or) Information Security & Cyber Law 		4 6 50 50 100
            24 30 300 300 600
          Total credit 144 180 2100 1700 3800

 

Additional Credits
S.No Sem Part Sub Type Sub Code Subject Credit Hours INT EXT Total
1 2 6 VAC   VAC – Microsoft CoE Course 
(or) Web Technologies  		2 2 50 0 50
2 3 6 VAC   Inter Department Course 
(or) AWS Cloud Technical Essentials  		2 2 50 0 50
3 4 6 IDC   VAC – Microsoft CoE Course 
(or) Web Technology Frameworks 		2 2 50 0 50
4 5 6 VAC   VAC – Microsoft CoE Course 
(or) CNN Using Tensorflow  		2 2 50 0 50