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The M.Sc. in Computer Science and Engineering with a specialization in Data Science is designed to equip students with advanced knowledge in data analysis, machine learning, and intelligent systems. The program focuses on extracting meaningful insights from large and complex datasets using modern computational techniques. Students gain hands-on experience with tools and technologies such as Python, R, and big data frameworks. It also emphasizes critical thinking, statistical modeling, and real-world problem solving across various domains. Graduates are well-prepared for careers in data analytics, artificial intelligence, and research-driven industries.. Pursuing an M.Sc. in Data Science at the Girijananda Chowdhury University (GCU) provides students with a comprehensive foundation in both theory and practical applications, and prepares them for exciting careers in research, development, and innovation in the field of Data Science.

Eligibility

  • Bachelor of Computer Application (BCA) or Bachelor of Science (B.Sc.)in Computer Science /Mathematics/ or any equivalent degree in Science from a recognized university

Future Career Prospects

Graduates of an M.Sc. in Computer Science and Engineering with a specialization in Data Science have strong and diverse career prospects in today’s data-driven world. They can pursue roles such as data scientist, data analyst, machine learning engineer, and AI specialist across industries like healthcare, finance, e-commerce, and IT. With expertise in data interpretation and predictive modeling, they are highly valued for decision-making and strategic planning. Opportunities also exist in research, academia, and advanced studies like Ph.D. programs. As organizations increasingly rely on data, the demand for skilled data science professionals continues to grow globally.

Course Structure

Course structure of M.Sc.(Data Science)

The M.Sc. in Computer Science and Engineering with a specialization in Data Science is designed to equip students with advanced knowledge in data analysis, machine learning, and intelligent systems. The program focuses on extracting meaningful insights from large and complex datasets using modern computational techniques. Students gain hands-on experience with tools and technologies such as Python, R, and big data frameworks. It also emphasizes critical thinking, statistical modeling, and real-world problem solving across various domains. Graduates are well-prepared for careers in data analytics, artificial intelligence, and research-driven industries.

Eligibility

  • Bachelor of Computer Application (BCA) or Bachelor of Science (B.Sc.)in Computer Science /Mathematics/ or any equivalent degree in Science from a recognized university

Course Structure

Course structure of M.Sc. (Data Science)

Future Career Prospects

Graduates of an M.Sc. in Computer Science and Engineering with a specialization in Data Science have strong and diverse career prospects in today’s data-driven world. They can pursue roles such as data scientist, data analyst, machine learning engineer, and AI specialist across industries like healthcare, finance, e-commerce, and IT. With expertise in data interpretation and predictive modeling, they are highly valued for decision-making and strategic planning. Opportunities also exist in research, academia, and advanced studies like Ph.D. programs. As organizations increasingly rely on data, the demand for skilled data science professionals continues to grow globally.

The 2 year postgraduate programme in Computer Science and Engineering with specialization in Data Science is offered under the university’s specialised School of Engineering and Technology.

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