B.Sc. (Hons.) Data Science

  • About B.Sc Hons. (Data Science)

    B.Sc. Hons. (Data Science) is a 3 year full-time course that comes under the domains of Computer Science, Business Analytics and Artificial Intelligence. Data Science is an interdisciplinary subject that includes the use of Statistics, Big Data Analytics, Machine Learning and related aspects in order to understand the problem or phenomena with respect to a set of real-world data. This course is greatly appreciated among students in India and Abroad due to its progressively high importance and diverse future scope in tech companies, consultancies, market research companies and energy sector.

    B.Sc. Data Science is intended to provide a comprehensive knowledge of big data techniques, and their applications for effective decision making in improving business processes. This course spreads over six semesters. The programme curriculum has been designed with feedback from industry and academia. The main attraction of the programme is live projects during 3rd year in which students will explore their knowledge while working on real-world business problems.

  • Data Science

    The technological revolution has brought in many changes in various vital fields and has equally contributed to the rise of new opportunities. Data Science is one such opportunity which many youngsters look up to, especially in a country like India, where the young population has an impressive number. The growth in Data and the parallel increase in the need to manage them has made companies search for qualified professionals who are proficient in it.Data Science involves analysing massive amounts of data by using automated methods and extract insights that help in making strategic business solutions. Data Scientists are the modern day heroes who will perform this job, and their demand is increasing exponentially.

  • Employment opportunity

    The data science sector is flourishing to such an extent that there are currently more than ‘97,000 job openings for analytics and data science in India right now’. It is evident that the job market trend is showing an increasing demand for skilled data scientists across various industries. Students who have great expertise in working on tools such as SAS, R, Tableau and Python get recruited instantly by top MNC’s such as Google. Flipkart, IBM, Cognizant, GE Capital, HCL, Dell, IBM, and more. When there is such a huge opportunity, students from different background are looking for an opportunity to enter this newly growing field and start a successful career in Data science.

    Companies in India hire Data Scientists/ Professionals who can resolve the data management issues in their domain. According to the Analytics India Salary study, the Annual income of Data Science professionals ranges from 7 to 11 Lacs per annum in India. It is interesting to note that the demand for Data Science courses is also witnessing a rise year after year. The Data Science courses help to acknowledge this demand. Amidst the rising demand for Data Scientists in India and abroad, the importance of Data Science courses is also growing.

  • Objective of B.Sc. Hons. Data Science
    • To prepare the students be employable in Multi-national companies and in various other sectors.
    • To explicate data analysis techniques and quantitative modeling for the solution of real world business problems.
    • To report findings of analysis and effectively present them using data visualization techniques.
    • To Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
    • To provide insights about the roles of a Data Scientist, such as a developer, an analyst, a statistical expert etc.
    • To understand techniques and tools for transformation of data , Data Mining, Data formats , Machine Learning Algorithms, Data Visualization and Optimization.
  • Learning Outcome

    After completion of the course the participants will be able to

    • Use proper techniques for understanding and presenting data.
    • Learn how to use optimization techniques and software tools for data analysis.
    • Sharpen their analytical skills and develop the ability of analyzing data properly.
    • Acquire problem solving ability of complex business decisions, quantitative literacy and critical thinking in seeking solutions to complex business problems.
  • Eligibility

    (10+2) Science or equivalent with mathematics as a subject at 10th

  • Programme Structure
    S. No.Title of PaperCredits
    1.Foundation Course in Mathematics
    (Matrices, Complex numbers, Vector Algebra, Coordinate Geometry, Set Theory)
    2.Environmental Studies3
    3.Communicative English-I2
    4.Fundamentals of Computers2
    5.Problem Solving using C5
    6.Digital Logic Design4
    7.IT Workshop -I1
    1.Advanced Mathematics
    Calculus (Differential, Integral, Differential Equations, Complex Variables, Linear Algebra)
    2.Probability and Statistics4
    3.Object Oriented Programming using Java5
    4.Computer Organization4
    5.Data Structure6
    6.Communicative English -II2
    7.Project Based Learning and Seminar-I1
    1.Discrete Mathematics3
    2.Applied Economics3
    3.Database Management Systems4
    4.Design and Analysis of Algorithms4
    5.Operating Systems4
    6.Introduction to Data Science using Python5
    7.Rural/Community Engagement1
    8.Project Based Learning and Seminar-II1
    1.Optimization Techniques3
    2.Machine Learning5
    3.Computer Network3
    4.Data Preparation and Analysis4
    6.Minor Project -I2
    7.Domain and Employability Enhancement Skills-I1
    8.Liberal Art/Creative Art2
    9.Free/Open Elective3
    1.Statistical Data Analysis using R Language4
    2.Data Visualization4
    3.Artificial Intelligence3
    6.Domain and Employability Enhancement Skills-II1
    7.Free/Open Elective3
    8.Human Values and Ethics2
    9.Minor Project -II2
    11.Liberal Art/Creative Art2
    1.Deep Learning4
    2.Big Data Processing & Analytics4
    4.Free Elective3
    5.Major Project/Dissertation6
    6.Liberal Art/Creative Art2
    S. No.Title
    List of Domain Specific Elective (3 Credits)
    1.Internet of Things for Smart Cities
    2.Internet of Things for Health Care
    3.Cloud Computing
    4.Natural Language Processing
    5.Computer Vision
    6.Operational Research
    7.Time Series Analysis and forecasting
    8.Advanced Data Visualization
    9.Text Analytics
    10.Multivariate Analysis
    11.Recommender Systems
    12.Cryptography and Data Security
    13.Robotics and Intelligence Systems
    14.Software Engineering using UML
    15.Internet of Things and Analytics
    16.Automata Theory and Compiler Design
    17.Digital Signal Processing
    18.Parallel and Distributed Computing
    19.Social Web Analytics
    20.Digital Image Processing
    21.Data Ware housing and Data mining
    22.Mobile Application Development
    List of Free Elective (3 Credits)
    1.Any MOOC Course approved by School/Department
    2.Any course offered as free elective by other Schools/Departments
    3.Research Methodology
    4.Research Report writing and presentation
    6.Technology, Strategy and Innovation
    7.Smart Product Development and Innovation
    Liberal Art/Creative Art (2 Credits)
    3.Film and acting
    9.Graphic Design
    10.Wood art
    11.Bamboo Art and Craft