Contact for Details
1 year
London
Tuition Fee
£11,700 per year (UK home)
Full-time
Full-time UK students: £11,700. 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. The university reserves the right to increase postgraduate tuition fees in line with changes to legislation, regulation and any government guidance or decisions. Tuition fees may be subject to change by Middlesex University London. Applicants should check the institution website for the latest fee information.
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An honours degree normally classified 2.2 or above, or equivalent, with programming or data analysis in its curriculum. A minimum of three years' relevant work experience and the ability to study at postgraduate level. Applicants are encouraged to highlight relevant qualities such as being forward-thinking, creative, and collaborative in their personal statement.
Information available via the institution's English language requirements page.
Graduates are well-prepared for roles such as Data Scientist, Data Analyst, DevOps Engineer, Machine Learning Engineer, Quantitative Analyst, Blockchain Developer, and Software Developer within the financial sector and fintech start-ups. Nova Pathways can assist you in exploring how these roles align with your career aspirations.
Yes, this course is available as a two-year part-time programme. Please contact us at Nova Pathways if you would like support in understanding the application process for part-time study.
Students benefit from a strong support network including one-to-one and group sessions for academic skills, library support, IT teams, and learning experts. We at Nova Pathways are here to help you navigate these resources as you prepare for your studies.
Yes, the 'Careers and Futures' service provides unlimited access to one-to-one advice, 24/7 online support, and networking opportunities. They also offer lifetime career support for alumni. Nova Pathways can help you connect with these services to maximise your career potential.
The course focuses on authentic, task-based learning and collaborative projects that simulate real-world environments. While specific placement schemes may vary, the programme is designed to produce work-ready graduates. Contact Nova Pathways for guidance on how to best leverage these opportunities.
Yes, scholarships such as the Alumni Postgraduate Award, Chevening Scholarship, European Academic Awards, and Regional or International Merit Awards are available. Nova Pathways can help you identify which scholarships you may be eligible for.
This course is accredited by the Institute of Analytics and features a unique co-design element where students tailor their learning to their interests. It also offers international collaboration with peers in Mauritius and Dubai. Nova Pathways can help you understand how these unique features benefit your professional development.
Absolutely. The course uses a portfolio-based assessment approach where you build practical solutions to real-world financial problems using Python, AI, and blockchain technologies. Nova Pathways can assist you in preparing your application to highlight your readiness for this practical curriculum.
You will experience a mix of seminars, workshops, and computer lab sessions, with approximately 12 hours of scheduled activities and 28 hours of independent learning per week. Nova Pathways can provide further insight into managing your study-life balance at Middlesex.
You should have an honours degree (2.2 or above) with programming or data analysis experience, or three years of relevant work experience. You will also need to submit a personal statement highlighting your creative and collaborative skills. Nova Pathways is available to review your application and ensure you meet all requirements.
