- Big Data Theory and Practice
- Business Analytics
- Data Mining and Machine Learning
- Research Methods and Professional Practice
- Business Systems Postgraduate Project
- Advanced Big Data Analytics
- Business Optimisation
- Data Visualisation and Dashboarding
- Data Warehousing and OLAP
- Data Repositories Principles and Tools
- Simulation Modelling: Risk, Processes, and Systems
- Web and Social Media Analytics
This programme is accredited by BCS, The Chartered Institute for IT, for fully meeting the further learning educational requirement for Chartered IT Professional (CITP) status and for partially satisfying the underpinning knowledge requirements set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC) and the Science Council for Chartered or Incorporated Engineer (CEng or IEng) status. Note that there are additional requirements, including work experience, to achieve full CITP, CEng, or IEng status. Graduates of this accredited degree will also be eligible for professional membership of BCS (MBCS).
The BCS accreditation is an indicator of the programme’s quality to students and employers; it is also an important benchmark of the programme’s standard in providing high-quality computing education, and commitment to developing future IT professionals that have the potential to achieve Chartered status. The programme is also likely to be recognised by other countries that are signatories to international accords.
You are expected to already have quantitative skills, with an interest in developing these further to support postgraduate activity in analysing, evaluating and reporting on a range of real-world data-intensive problems. You will have a suitable Honours degree from a UK university (or equivalent qualification) in a scientific or engineering discipline with some exposure to the use of IT, or in an area of computer science or IT with a strong interest in quantitative analysis. If you do not have a formal qualification, but you are already in employment, you may be considered if your role involves the data mining and decision support techniques and technologies deployed in the course.
If your first language is not English, you will need an IELTS score of 6.5 or equivalent.
Career development centre
Our Career Development Centre has just been shortlisted for the Best University Careers Service in the National Undergraduate Employability Awards for 2017.
With a growing network of over 3,000 employers around the world and a team of experienced careers consultants, we are here to help you succeed.
In 2015–16, we helped over 1,500 students find work placements across a range of sectors, with 250 employers attending 14 on-campus skills and careers fairs.
As a Westminster student, you’ll have access to our services throughout your studies and after you graduate.
We can help you:
- find work placements related to your course,
- find part-time/vacation, placement and graduate jobs, including voluntary experience,
- find international opportunities to enhance your employability,
- market yourself effectively to employers,
- write better CVs and application forms,
- develop your interview and enterprise skills,
- plan your career with our careers consultants,
- meet employers and explore your career options at our employer fairs, careers presentations and networking events throughout the year.