Data Science (BSc)

B. Sc (bachelor of science) in data science is an undergraduate program that focuses on the study of data analysis, statistical methods, and computational techniques. The b. Sc data science program curriculum typically includes subjects such as mathematics, statistics, computer science, machine learning, data visualization, data mining, and big data analytics. 

Students gain an understanding of data collection, data processing, and data analysis to extract meaningful insights and support decision-making processes. The program equips students with critical thinking, research, and analytical skills to analyze complex datasets and develop data-driven solutions for various industries.

Eligibility

• Pass with 50% aggregate marks in 10+2 or equivalent.

Admission

• Qualify AURUM UG.
• Candidates having valid CUET UG score are exempted from AURUM UG.

BSc Data Science Career Prospects

• Graduates with a BSc in Data Science have strong career prospects in various sectors due to the increasing importance of data-driven decision-making. They can work as data analysts, data scientists, business intelligence analysts, data engineers, or machine learning engineers. Opportunities exist in industries such as technology, finance, healthcare, retail, and government. Data science professionals are in high demand for their ability to interpret complex data, generate actionable insights, and support strategic decision-making.

Corporate Sector

• In the corporate sector, BSc Data Science graduates play a crucial role in leveraging data to drive business success. They can work in roles such as data analysts, data scientists, or business intelligence specialists. Their responsibilities may include analyzing market trends, optimizing operations, developing predictive models, and creating data visualizations to support business strategy and improve overall performance.

Entrepreneurship

• Data Science offers numerous entrepreneurial opportunities. Graduates can start their own data consultancy firms, develop data-driven products, or create specialized software solutions. Entrepreneurs can identify niche markets where data insights can provide a competitive edge, such as customized analytics tools or industry-specific data services.

Research

• Research in data science involves exploring advanced techniques for data analysis, machine learning, artificial intelligence, and big data management. Students and professionals can engage in research projects that focus on improving algorithms, developing new analytical methods, or addressing challenges in data management. Research opportunities are available in academic institutions, research labs, technology companies, and governmental agencies.

Government Sector

• In the government sector, BSc Data Science graduates contribute to public policy development, data-driven decision-making, and program evaluation. They can work in areas such as public health, urban planning, and economic analysis, where data science helps in understanding trends, evaluating program effectiveness, and informing policy decisions.

Higher Education in India

• Several universities and institutes in India offer undergraduate programs in Data Science or related fields. Students can pursue further studies, such as an MSc or specialized programs in data science, machine learning, or artificial intelligence. Notable institutions providing Masters degree data science programs include the Indian Institute of Science (IISc), Indian Statistical Institute (ISI), and various other reputed universities and engineering colleges.