ÌÇÐÄlogoÈë¿Ú

Modules and Teaching

• One year part-time, online, starting in October 2027

  Course structure

  You must complete three modules worth a total of 60 credits, one of which is a work-based project supported in-house by an industry partner.

  Modules

  • Analytic Tools for Data Science
  • Demystifying Computing with Python
  • PG Cert Applied Data Science Project

• Teaching

  We encourage innovative and engaging ways of teaching to help ensure you have the best learning experience and provide a range of different modes of learning to help you juggle study with work and other commitments.

  Find out more about our teaching and teaching hours.

  What are the methods of teaching?

  Formal lectures incorporating practical sessions and group exercises carried out in class.

• How will I be assessed?

  You will be assessed via coursework assignments, written examinations, and a project proposal and a final report.

  Please see individual modules for more details.

  Find out more about assessment at ÌÇÐÄlogoÈë¿Ú, including guidance on assessment, feedback and our assessment offences policy.

Entry requirements

A second-class honours degree (2:2) or above in any subject other than computer science. Applicants with less than the required level of academic qualification may be considered if they have significant experience in the IT industry.

• What are the English language requirements?

  If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests. We also accept other English language tests.

  If you don't meet the minimum English language requirements, please contact us or see our for more details about how we can help.

  Visit the International section of our website to find out more about our English language entry requirements and relevant requirements by country.

• What are the visa and funding requirements?

  If you are not from the UK and you do not already have residency here, you may need to apply for a visa.

  The visa you apply for varies according to the length of your course:

  • Courses of more than six months' duration: Student visa
  • Courses of less than six months' duration: Standard Visitor visa

  International students who require a Student visa should apply to study on our courses full-time as these qualify for Student visa sponsorship. If you are living in the UK on a Student visa, you will not be eligible to enrol to study part-time courses at ÌÇÐÄlogoÈë¿Ú (with the exception of some modules).

  As a Student visa student, you should also apply to study on campus only, as online and flexible options of study  (if they are available for your course) may affect the conditions of your visa.

  For full information, read our visa information for international students page.

  Please also visit the international section of our website to find out more about relevant visa and funding requirements by country.

  Please note students receiving US Federal Aid are only able to apply for in-person, on-campus programmes which will have no elements of online study.

• Credits and accredited prior learning (APL)

  If you have studied at university (or have an HND or Foundation Degree), you may have accumulated credits. It may be possible to transfer these from your previous study to ÌÇÐÄlogoÈë¿Ú or another institution.

Fees

• ÌÇÐÄlogoÈë¿Ú's Lifelong Learning Guarantee

  If you've studied at ÌÇÐÄlogoÈë¿Ú before and successfully completed an award with us, take advantage of our Lifelong Learning Guarantee to gain a reduction on the tuition fee of this course.

• Can I apply for an international scholarship?

  We provide a range of scholarships for eligible international students, including our Global Future Scholarship. View ÌÇÐÄlogoÈë¿Ú's available scholarships.

Careers and employability

Upon successfully graduating from this course, you will possess a diverse set of highly sought-after transferable skills, including: 

• a broad understanding of computer science, data science and software engineering principles 
• proficiency in Python programming and its libraries, as well as expertise in machine learning, data analysis and data visualisation 
• practical problem-solving and analytical skills to tackle complex, real-world challenges 
• the ability to design, implement and optimise solutions for data-driven decision-making across various industries.Ìý

These skills will prepare you for roles in technology, finance, healthcare, e-commerce and other sectors, such as:

• data analyst
• machine learning engineer  
• data scientist 
• software developer.Ìý

Some of our graduates from this course have gone on to be employed in data science-related positions in UK enterprises and government bodies such as Moody’s, Three UK, the NHS and the UK Foreign Office.Ìý

Student support

How to apply

• When should I apply?

  You are strongly advised to apply now, to ensure there are still places left, and to give you enough time to complete the admissions process, to arrange funding and to enrol.

  You don't need to complete your current programme of study before you apply - ÌÇÐÄlogoÈë¿Ú can offer you a place that is conditional on your results.

• How can I get help with my application?

  Get all the information you need about the application, admission and enrolment process at ÌÇÐÄlogoÈë¿Ú.

  Our online personal statement tool will guide you through every step of writing the personal statement part of your application.

• International agents

  If you are an international agent applying to ÌÇÐÄlogoÈë¿Ú on behalf of an international student, please use .