1 year - full time
2 years - part time
Throughout your learning journey, you will be working with a team of dedicated, dynamic and research active academic staff who are committed to providing high quality research-led teaching with practical classes. You will benefit from talks and presentations by visiting lecturers – a range of e-business and IT industry specialists – and various student forums where you will have the opportunity to present your research findings to leading business people and professionals.
How you will study
Learning on this course is a partnership between the student, his/her peers, and the teaching team. It is a mix of timetabled activity and student’s own personal study.
The course applies a problem-based learning approach to structure the content and delivery of lectures, seminars and other in/out-of-class activities with the use of case studies to improve your analytical and problem-solving skills. In practical workshop seminars, you will enrich your problem-solving skills in various business analytics tools through the use of a wide range of application software and platforms, such as MSc Excel and its sophisticated Add-ins, Power BI, Python, SPSS, SQL and non-SQL-based DBMS, AWS, Simul8, Insight Maker and others. The course team organises regular presentations by external speakers with industrial experience that will help you understand how the taught material is applied in industry.
Teaching staff are often engaged in research or commercial activities and this ensures that you will gain an understanding of contemporary issues in the field. Student projects are often integrated with industry real cases and problems. This makes the course very attractive as well as a practical study destination if you want to grasp the global digital challenge as a data science professional.
The course consists of seven core modules and four optional modules. The course structure is validated by the University of Westminster (UK) every five years. This may change, if necessary, in order to adapt to feedback received from a variety of sources.
- Big Data Theory and Practice
- Business Analytics
- Data Repositories Principles & Tools
- Research Methods and Professional Practice
- Business Systems Postgraduate Project
- Business Optimisation
- Simulation Modelling: Risk, Processes, and Systems
- Data Mining and Machine Learning
- Data Warehousing and OLAP
- Digital Business
- Project Management
WHY STUDY THIS COURSE?
Applicants should normally hold an Undergraduate degree (or equivalent) from a recognised higher education institution with a minimum of a second lower class honours (2:2 or equivalent). Applicants without a formal higher education qualification or a formal qualification that is not at an equivalent academic standard, may be considered if the following conditions apply:
- They are or have been in employment where their role is in the area of the course and involves a high level of analysis and critical thinking.
Applicants must have:
- Had their first or second degree (or equivalent) taught and assessed in English; or
- IELTS with an overall score of at least 6.5 with a minimum of 6.0 in writing or another English Language Test recognised by the University of Westminster.
Applicants must have at least 12 months of full-time paid work experience or equivalent at the start of the academic year. For the purposes of this regulation, the academic year starts on 1st October.
WHAT OUR STUDENTS SAY
Head of Finance Department,
Project Implementation Group Shurtan Gas Chemical Complex LLC
Safia Confectionery House