BSc-Data Science

B. Sc (Data Science ) Program

Duration: Three Years

Overview

  • Every facet of modern life from social networking to scientific research, finance to healthcare , produce an immense amount of data which needs to be analysed and turned into intelligence for actionable insight.
  • B.Sc Data Science is a unique Program designed to impart the essential skills to cater to the fastest growing trends in the industry.
  • The program will provide students with an opportunity to get exposed to the broad range of subjects leading to a high-level of data science skills.
  • The curriculum is a blend of core and advanced specialised courses in statistics and predictive analytic using R, Python, Machine Learning , Data Visualisation with a strong foundation of Mathematics, Communication skills and entrepreneurship.
  • Choice based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.
  • Project intern-ship give the much needed hands on learning experience in the final semester, where they can analyse and draw actionable inferences from a raw data using the analytics based on statistical and mathematical understanding.
    • Expertise faculty with great experience in industry, academics, research, development and innovation
    • Curriculum is based on the latest trends in the ever changing and evolving fields of Data Science
    • Excellent placement cell for further opportunities
    • State-of-the-art Computer Laboratory and Infrastructure
    • Large numbers of Extra-curricular and Co-curricular engagement opportunities

Eligibility: Candidates who have completed 10+2 in Any stream (All Boards) with minimum 50% are eligible for admission to BSc-Data Science Program. 

Admission Procedure: Eligible candidates are required to appear for an interaction with faculties of Data Science.

Course Structure
Semester – I
Sr.No. Course Name Credits
1 Python Programming 4
2 Databases and My SQL 4
3 Statistics-I 4
4 Elementary Calculus 2
5 Matrix Theory 2
6 HR/ Management 3
7 Communication-I 3
Semester – II
Sr.No. Course Name Credits
1 Data Structures 4
2 Statistics-II 4
3 Object Oriented Programming 4
4 Ordinary differential equations 2
5 Advanced Calculus 2
6 Statistical modelling 2
7 Humanities 2
8 Communication-II 2
Semester – III
Sr.No. Course Name Credits
1 R programming for Data Science 4
2 Regression analysis and Bayesian statistics 5
3 Data Visualization and Tableau 5
4 Discrete Mathematics and Linear Algebra 5
5 General Elective-I 3
6 Operation Research 2
7 ID course 2
Semester – IV
Sr.No. Course Name Credits
1 Data mining and warehousing ( Using R / Python) 3
2 Data analytic using Hadoop 3
3 Machine Learning 5
4 Cloud computing 3
5 General Elective-II 3
6 Optimization Techniques 2
7 Environment Science 2
8 Khoj 3
9 ID course 2
Semester – V
Sr.No. Course Name Credits
1 Internet of things for Data Analytic 4
2 Deep Learning 4
3 Soft Computing 4
4 Big Data 4
5 Numerical methods and simulation 5
6 Entrepreneurship 3
7 Research methodology 3
Semester – VI
Sr.No. Course Name Credits
1 Intern-ship 17

 

Semester List of Electives
Sem-III Biostatistics
Image processing
Econometrics
Text analysis
Sem-IV Artificial intelligence
Bioinformatics
Cyber Security
X