Contact for Details
1 year
London
Tuition Fee
£11,700 per year (UK home)
Full-time
Full-time UK students: £11,700. Part-time UK students: £78 per credit and £38 per dissertation credit. A placement fee of £3,000 per year applies. The university reserves the right to increase postgraduate tuition fees in line with changes to legislation, regulation and any government guidance or decisions. The tuition fees for part-time UK study are subject to annual review and the institution reserves the right to increase the fees each academic year by no more than the level of inflation.
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A minimum 2:2 honours degree in computer science, or a minimum 2:2 in a relevant subject (such as maths, physics, or engineering), or two or more years of relevant working experience (such as programming, data analytics or machine learning). Graduate-level professional qualifications. Relevant qualifications or work experience may be considered towards entry requirements.
Applicants must meet the institution's English language requirements. Pre-sessional English courses are available for those who do not meet the minimum criteria.
Graduates are well-positioned for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, and AI Developer across sectors like technology, healthcare, finance, government, and retail. Nova Pathways can assist you in exploring these career paths further.
Yes, this course is available to study part-time over two years. Please contact us if you would like guidance on balancing part-time study with your other commitments.
Students have access to a strong support network including one-to-one and group academic sessions, library resources, IT support, and dedicated student support services for personal and academic matters.
Yes, the Careers and Futures service provides unlimited access to one-to-one advice, 24/7 online support, networking events, and lifetime career support for alumni. We can help you understand how to leverage these services.
Yes, the course offers a professional placement option, allowing students to gain hands-on experience in industry or research settings. Support for placement applications and interview preparation is provided by the Careers and Employability team.
Yes, eligible students may apply for scholarships such as the Alumni Postgraduate Award, Chevening Scholarship, European Academic Awards, and Regional or International Merit Awards. We can help you identify which scholarships you might be eligible for.
This course offers a unique fusion of machine learning, visual analytics, and corporate data governance, with a strong focus on applying theory to real-world data challenges using industry-standard tools like AWS and Apache Spark.
Absolutely. The course emphasises hands-on learning through lab sessions, coursework projects, and the opportunity for a professional placement, ensuring you develop essential technical and problem-solving skills.
You will engage in a mix of traditional lectures, small group discussions, lab sessions, and independent research. You will also have access to state-of-the-art problem-solving rooms that mimic real-life software development environments.
You should ensure you meet the academic entry requirements (a 2:2 honours degree or relevant experience) and English language requirements. Nova Pathways is here to help you prepare your application and personal statement effectively.
