{"id":109571,"date":"2025-09-22T11:17:32","date_gmt":"2025-09-22T11:17:32","guid":{"rendered":"https:\/\/www.krmangalam.edu.in\/blog\/?p=109571"},"modified":"2025-10-11T12:06:47","modified_gmt":"2025-10-11T12:06:47","slug":"bsc-data-science","status":"publish","type":"post","link":"https:\/\/wp.krmangalam.edu.in\/blog\/bsc-data-science\/","title":{"rendered":"BSc Data Science: Syllabus, Careers, and Data Science Course"},"content":{"rendered":"

Data is the backbone of almost every company. It helps companies to predict and determine consumer behaviour, which drives decisions and shapes strategies. As per the famous statistician W. Edwards Deming, \u201c<\/span>In God we trust. All others must bring data.<\/span><\/i>\u201d The statement perfectly highlights the importance of data science in today’s world.\u00a0<\/span><\/p>\n

If you are a data-driven person with a passion to build a career in this field, pursuing a BSc Data Science<\/a> could be the right choice for you. In this blog, we will break down all the key points of data science, including bsc data science syllabus, bsc data science subjects, bsc data science course and top data science course in Gurgaon at K.R. Mangalam University (KRMU).\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n

What is BSc Data Science?<\/h2>\n

The Bachelor of Science degree, or BSc in data science is a 3-4 year undergraduate programme, designed to make students understand the technical, mathematical and analytical skills required to work with large datasets.<\/span><\/p>\n

The programme also covers topics such as integrating computer science, mathematics, and domain knowledge, which students can use to extract insights and solve real-world problems through data analysis. Pursuing a BSc data science degree helps one gain and build a solid foundation in programming, statistics, and data visualisation, and even machine learning, which ensures a promising career.\u00a0\u00a0<\/span><\/p>\n

Eligibility for BSc Data Science<\/h2>\n

To pursue a career in a data science programme, students must have completed 10+2 or an equivalent examination from any recognised board with mathematics\/statistics\/computer science\/information science as one subject with a minimum of 50% aggregate marks. Some colleges and universities conduct entrance exams along with the eligibility criteria.\u00a0<\/span><\/p>\n

BSc Data Science Syllabus<\/h2>\n

The syllabus of B.Sc. data science varies from one university to another. However, below are some common topics which give you an idea of the syllabus.\u00a0<\/span><\/p>\n

Here\u2019s a breakdown of the key areas:<\/span><\/p>\n

    \n
  1. Mathematics and Statistics:<\/b> Linear algebra, probability, calculus, and statistical methods form the foundation.\u00a0<\/span><\/li>\n
  2. Computer Science and Programming:<\/b> Python, R, SQL, and Java for data analysis and software development.\u00a0\u00a0<\/span><\/li>\n
  3. Data Management:<\/b> Database systems, data warehousing, and cloud platforms.\u00a0\u00a0<\/span><\/li>\n
  4. Machine Learning:<\/b> Supervised and unsupervised learning, deep learning basics.\u00a0\u00a0<\/span><\/li>\n
  5. Data Visualisation:<\/b> Tools like Tableau, Power BI, and libraries such as Matplotlib and Seaborn.\u00a0\u00a0<\/span><\/li>\n
  6. Domain Applications: <\/b>Case studies from healthcare, finance, retail, and e-commerce.\u00a0\u00a0<\/span><\/li>\n
  7. Capstone Projects: <\/b>Real-world problem-solving with datasets and industry collaboration.\u00a0\u00a0<\/span><\/li>\n<\/ol>\n

    These well-rounded syllabi cover theoretical knowledge and practical applications.\u00a0<\/span><\/p>\n

    Also Read: <\/strong>Explore Top Data Science and Business Analytics Programmes<\/a><\/p>\n

    BSc Data Science Subjects<\/h2>\n

    The subject of B.Sc. data science varies as per the syllabus offered by colleges and universities. However, some of the most common and important subjects in BSc Data Science include the following:\u00a0<\/span><\/p>\n