

MSc in Data Science (with Placement), University of Chester
Chester - UK,
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24 Months
Check Eligibility
About this course
This MSc program in Data Science is designed to help students transition into the rapidly growing field of data science. It is suitable for those with a technical, mathematical, or engineering background who want to build expertise in data analytics, machine learning, statistics, and Python for data science. The course is housed within the innovative Department of Computer Science, which collaborates closely with employers to ensure real-world relevance. Students will study cutting-edge modules like statistical programming, enterprise development, data science principles, machine learning, and research methods. An optional placement or project year is available for gaining practical industry experience, although it involves additional costs. The program emphasizes developing both theoretical knowledge and practical skills, preparing students for careers in diverse industries such as finance, research, retail, government, and IT.
Why this course is highly recommended
This MSc is ideal for individuals with a technical background aiming to enter the fast-expanding data science field. It offers a blend of theoretical modules and practical industry experience, especially if students opt for the placement or project year. The course content is designed to be industry-relevant and cutting-edge, ensuring graduates have the skills that employers demand. Additionally, the university provides strong support through its connections with industry, career services, and state-of-the-art facilities at Exton Park, Chester.
Specialisation
The course covers a range of specialisations within data science, including statistical programming, machine learning, data warehousing (SQL and NoSQL), and data science foundations. Students can tailor their learning towards industry-ready skills with modules focused on ETL (Extract, Transform, Load) processes, data analysis tools, and enterprise development. The optional placement or project year allows students to focus on applied data science in real-world settings, enhancing their professional experience and industry contacts.
Course fees
Application fees
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1st year tuition fees
15.83L
Living cost
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Living cost
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Degree requirements
Applicants need a 2:2 honours degree or equivalent in a relevant technical, mathematical, or engineering discipline. Relevant work experience may also be considered. English language proficiency requirements are applicable, though specific details are accessed via the university’s international entry guidelines.
English language test
IELTS
6.5
DUOLINGO
-
PTE
65
TOEFL
91
Career prospects
Graduates will be equipped to pursue roles in data science across various sectors including finance, scientific research, retail, IT, government, and eCommerce. The university’s careers service offers tailored assistance with CVs, applications, interviews, and job placements, helping students to maximize their employment opportunities post-graduation.
FAQs
Can I do this course part-time?
Yes, the course is available in full-time, part-time, and part-time with a project or placement year options.
What is the duration of the course?
The full-time course lasts 1 year, while part-time options can extend up to 6 years. The dual-year course with a placement or project lasts 2 years.
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