B.Sc. (Data Analytics)

“The goal is to turn data into information, and information into insight.” - Carly Fiorina, former CEO of Hewlett-Packard
Data analysts are at the nexus of information technology, statistics and industry. This program would provide you with a solid grip on the technological skills needed to effectively collect, wrangle, mine, and envision data. You would also gain the soft skills for engaging with stakeholders and telling stories with data to engage your audience. You would be prepared to analyze real-world datasets, generate interactive dashboards and deliver reports to share findings. After completing the program, you can kick-start your career as an Associate or Junior Data Analyst.
Please note: B.Sc. Data Analytics requires students to gain hands-on exposure to several tools and technologies such as Tableau, MS Excel, Python, R, Machine Learning among others through the 3 years of the program. Hence, students willing to pursue this program are required to carry a laptop of following configuration:
  • Processor: i5 2GHz (9th Gen), multi-core or above
  • Ram: 8 GB 1600MHz or above
  • HDD: 512GB or above
  • OS: Windows 10 or above
  • Graphic Card: Not compulsory
No. of Seats: 225

You are a great fit for the Data Analytics industry if you:

  • Loves to sit on a computer/ laptop, enjoy working with numbers, visualisation and presentations.
  • Believe that data is necessary for the dissemination of information
  • Like working solo, analyse and solve problems

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Industry Partners


Curriculum Advisory Group

In line with the mission and vision of DSEU to create industry relevant courses the Curriculum Advisory Group (CAG) is a mix of passionate educators and subject matter experts from academics and industry. There is a unique CAG for each of the bachelors and masters level courses. The CAG has analyzed the conceptual needs of the course as well as the employability needs and entrepreneurial opportunities offered to the students by the course. Based on their analysis the CAG has developed the program structure, selected the courses to be included, designed the syllabus, suggested the pedagogical approach, outlined the contours of the assessment, suggested modes of and the nature of industry interactions, and aspects of internships and apprenticeships offered in the course. The CAG for this course includes 9 members. For certain reasons, 3 of the members of this CAG prefer to be anonymous

Prof. Sarada Samantaray

Professor, NMIMS Associate Dean Academics HoD Data Science and Artificial Intelligence


Dr. Avik Sarkar

Visiting Associate Professor, ISB Former Head, Data Analytics Cell, NITI Aayog


Ms. Manju Jain

Meera Bai Institute of Technology Lecturer Computer Engineering ( Selection Grade)

Vice Principal

Prof. U Dinesh Kumar

Professor, Data Sciences, IIM Bangalore Chairperson, Data Centre and Analytics Lab Chairperson, MBA (Business Analytics)


Prof. Raghu Rengasamy

Professor, IIT Madras Dean, Global Engagement Core Member, Robert Bosch Center for Data Science & AI


Prof. (Ms.) Usha Ananthakumar

Professor, Applied Statistics, SJMSOM, IIT-Bombay