MSc Data Science

at University of South Wales

• The MSc Data Science programme at South Wales University provides comprehensive training to equip students with the necessary skills and knowledge in this rapidly evolving field. 
• Students learn to apply advanced analytical techniques to address real-world challenges using big data. 
• The curriculum covers a wide range of topics including statistical analysis, machine learning, data mining, and data visualisation. 
• Practical projects and assignments enable students to gain hands-on experience in solving complex problems and extracting insights from data. 
• Graduates emerge with a solid foundation in data science and are prepared to excel in various roles within the industry.

Course Modules

• Applied statistics for data science
• Data mining and statistical forecasting
• Project management and research methodology
• Principles of computing
• Applied Machine Learning and Deep Learning

Important Dates

The application deadline for the MSc Data Science programme at the University of South Wales hasn't been announced yet. Prospective students should regularly check the university's website for the most recent updates on deadlines. Additionally, it's important to know that admissions for the integrated master's degree in Mechanical Engineering typically begin in September each year.

• An overall average of 3 Year degree (B.COM, BBA, B.SC, BCA etc.) at 60% (or CGPA of 6.0/10) from a recognised Indian university for entry to a relevant postgraduate programme.
• An overall average of 4- or 5-Year degrees (B.E, BTECH, B PHARM, B. ARCH etc.)  at 55% (or CGPA of 5.8/10) from a recognised Indian university for entry to a relevant postgraduate programme.
• 50% (or CGPA 5.5/10) minimum from the following Indian universities: University of Mumbai, University of Delhi, University of Pune, Jadavpur University or University of Calcutta

International Tuition Fees:

£16900 per year

There are promising job opportunities in the fast-growing field of data science. Graduates can pursue careers as data scientists, statisticians, business analysts, predictive modellers, or computer programmers. These opportunities will continue to expand as organisations need to adjust to advancing technologies.