MSc Data Science

Program Overview

The MSc Data Science program at the University of Sunderland equips students with the knowledge and skills to work in the growing field of data science. The program focuses on developing students' abilities to solve real-world problems using data-driven approaches and prepares graduates for diverse career paths in data science. The program is delivered by an enthusiastic teaching team and boasts state-of-the-art facilities, including specialized computing labs and high-performance computing platforms.

Program Outline

MSc Data Science at the University of Sunderland: A Comprehensive Overview

Degree Overview:

The MSc Data Science program at the University of Sunderland is designed to equip students with the knowledge and skills to work in the growing field of data science. The program aims to train students to understand different data types, fuse diverse datasets, utilize advanced analytics methods, and present data insights effectively. This program is ideal for individuals with computing, STEM backgrounds, or prior experience in data analysis. It focuses on developing students' abilities to solve real-world problems using data-driven approaches.

Outline:

The program comprises numerous modules covering various aspects of data science, including fundamental concepts, programming techniques, machine learning, and data analytics. Notably, it employs a balanced set of teaching and learning methods including lectures, group work, research, seminars, tutorials, and practical laboratory sessions.

Core Modules:

• Data Science Fundamentals (30 credits): This module delves into various data types, fusion techniques, analytical tools, and presentation methods.
• Data Science Product Development (30 credits): Students learn to design and develop data science products to address real-world challenges, conduct systematic literature reviews, and build prototypes.
• Machine Learning and Data Analytics (30 credits): This module equips students with theoretical and practical knowledge in machine learning, data mining, and data analytics.
• Technology Management for Organisations (30 credits): This module focuses on cybersecurity and data science applications in organizations, covering risk mitigation, resilient solutions, and governance aspects.
• Computing Masters Project (60 credits): Students delve into a specific research area, develop a deliverable, and conduct a thorough literature review to underpin their project.

Assessment:

Assessments in this program are entirely coursework-based, with no exams. Methods include writing reports, research papers, completing practical assignments, and undertaking a final project.

Teaching:

The program is delivered by an enthusiastic teaching team supported by the Academic Technical Support team. The latter assists students with practical sessions, projects, and configuration of equipment. Additionally, the program boasts state-of-the-art facilities, including specialized computing labs and high-performance computing platforms.

Careers:

This program prepares graduates for diverse career paths in data science, with opportunities in government agencies, high-tech companies, consulting firms, and market research organizations. Upon completion, graduates are equipped to progress in attractive fields and industries.

Other:

The program emphasizes the increasing demand for data scientists, highlighting it as one of the highest-paid jobs in the computing field.

Important note:

Admission requirements, fees, and application process details are not included in this comprehensive overview.

Additional Information:

• The program requires a 2:2 or above in a computing or related discipline (mathematics, statistics, engineering) or a 2:1 or above in a relevant non-computing discipline with numeracy or big data as a significant theme.
• International students can benefit from the European student fee scholarship for the 2024/25 intake.

Contact:

For further information or inquiries, contact the Student Helpline at 0191 515 3000 or email student.helpline@sunderland.ac.uk.

Tuition Fees and Payment Information:

• UK/Europe: £8,500
• International: £16,500