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B.sc in Data Analytics

B.sc in Data Analytics

1. Brief About the Course

B.Sc. in Data Analytics is a specialized course that instructs students on how to compile, analyze, and make sense of big amounts of information. The class emphasizes predictive modeling, data visualization, programming, and statistical methods. It readies pupils for positions in datadriven sectors including marketing, finance, healthcare, and IT.

2. Duration

  • 3 years (6 semesters).

3. Career Opportunities

  • Data Analyst.
  • Business Intelligence Analyst.
  • Data Scientist.
  • Market Research Analyst.
  • Financial Analyst.
  • Employment opportunities in IT firms, consulting firms, banks, e-commerce, and healthcare organizations.

4. Skills Acquired

  • Competence in R, SQL, and Python programming languages.
  • Knowledge of Power BI and Tableau software for visualizing data.
  • Knowledge of machine learning algorithms and statistical modeling.
  • Capability to manage big data frameworks and handle huge quantities of data.
  • Data-driven decision-making depends on good critical thinking and problemsolving abilities.

5. Eligibility Criteria

  • Required completion of 12th grade with Mathematics, Statistics, or Computer Science as a subject.
  • Minimum marks requirement depends on the institution.

6. Course Fee

  • Public Institutions: ₹30,000 - ₹1,00,000 per year.
  • Private Institutions: ₹1,00,000 - ₹3,00,000 per year.

7. Mode of Study

  • Full-time (standard).
  • Online and distance learning programs are also available for flexibility.

8. Top Institutes Offering

  • Symbiosis Institute, Pune.
  • Christ University, Bangalore.
  • Loyola College, Chennai.
  • SRM Institute of Science and Technology, Chennai.
  • Delhi University (DU), New Delhi.

9. Private Entrance Exams

  • Symbiosis Entrance Test (SET).
  • Jain Entrance Test (JET).
  • Christ University Entrance Test.

10. Government Entrance Exams

  • IISER Aptitude Test (for science-focused institutions).
  • JEE-based admissions for select universities offering data-focused programs.

11. Important Points

  • Certifications in data science, machine learning, or cloud computing will help university students to improve their employability.
  • During the course of the internship, you will get practical experience dealing with actual datasets.
  • Graduates could further pursue M.Sc. level courses in Business Analytics, Data Science, or Data Analysis.
  • Industries including banking, healthcare, and technology have great demand for data analysts.
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