Wrexham Glyndwr University
Data Science and Big Data Analytics MSc (PG)
Wrexham Glyndwr University

Course modalities offered

Key Course Facts

Student Reviews

Below you can see course specific reviews of 20 graduates of Data Science and Big Data Analytics MSc (PG) and other courses in Business and Management at Wrexham Glyndwr University for each of the survey questions in comparison to the average for all UK degree courses in Business and Management.

The NSS is commissioned by the Office for Students

Salary

Salary of Graduates in Business and Management

Important: Salary data below is not course specific, but contains data of all students of Business and Management at the university. Due to data collection methodology, salary data is mainly based on data related to undergraduate students.

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £22000 £21000 £22000
25-75 percentile range £18500 - £24500 £16000 - £25500 £15500 - £27000


Salary of all UK Graduates of Business and Management

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £23892 £22319 £26743
25-75 percentile range £20849 - £28057 £17242 - £28865 £19938 - £35746

Course Description

Globally, the need for data scientists has grown at a faster rate than those qualified with the required skills. Professionals with the right expertise in data analytics use cutting edge technologies to turn data into valuable knowledge. As data is being used increasingly to personalise, aggregate, and measure our everyday experiences, there is also a growing need for those who can develop such systems in a responsible and ethical manner. By studying this Master’s Programme, you will be perfectly positioned to meet this demand.

You will learn how to use various models, methods, tools and techniques to convert data into information and knowledge that can be understood by non- specialists, in order to make informed decisions for governments, companies, and other organisations-based on facts, statistical numbers and trends.

This will be enhanced by developing your knowledge of interdisciplinary skills and statistics, software programming, and using modern data analysis and visualisation technologies.

KEY COURSE FEATURES This course is designed as a conversion Masters which will provide you with opportunity, regardless of your previous subject area, to pursue a career in Data Science. Learning and teaching will help you pave a wealth of skills, knowledge, tools and technology to ensure a smooth transition into this specialist area. Data science is a platform with a complex blend of technology, algorithm development, and data interference. We have developed our course to ensure that you are equipped with cutting-edge knowledge-recognising the current and predicted future of the field. We will transform your understanding, inspiring you to make informed judgements by critically evaluating security, legal, ethical and privacy issues-considering the environmental impact of current and emerging big data technologies and applications. Our team are leading research-active professionals, on hand throughout the course to support your learning with their knowledge and expertise.

Jobs & Career Perspectives

15 months after graduation, graduates of this course were asked about what they do and, if they are working, about their current job and their perspectives.

Current jobs

Required skill level of job after 15 months

Jobs of graduates of this course (15 months after graduation)

Example below based on all graduates of Data Science and Big Data Analytics MSc (PG) at Wrexham Glyndwr University

30% Finance Professionals
20% Teaching and Childcare Support Occupation
10% Caring personal services
10% Business and public service associate professionals
10% Administrative occupations
10% Sales occupations
10% Elementary occupations

Entry Requirements / Admissions

UCAS Tariff of Accepted Students for Tourism, Transport and Travel

Get advice on which foundation courses are best for you to still study Data Science and Big Data Analytics, MSc (PG), if you do not meet the minimum requirements in terms of UCAS score, A levels, or English language requirements.

Costs

Tuition Fees Data Science and Big Data Analytics MSc (PG)

England UK £5940
Northern Ireland £5940
Scotland £5940
Wales £5940
International £12500

Average student cost of living in the UK

Rent £518
Water, gas electricity, internet (at home) £50
Supermarket shopping £81
Clothing £35
Eating out £33
Alcohol £27
Takeaways / food deliveries £30
Going out / entertainment (excl.alcohol, food) £24
Holidays and weekend trips £78
Transport within city £17
Self-care / sports £20
Stationary / books £13
Mobile phone / internet £13
Cable TV / streaming £7
Insurance £51
Other £95
  
Average student cost of living £1092

London costs approx 34% more than average, mainly due to rent being 67% higher than average of other cities. For students staying in student halls, costs of water, gas, electricity, wifi are generally included in the rental. Students in smaller cities where accommodation is in walking/biking distance transport costs tend to be significantly smaller.

University Rankings

Positions of Wrexham Glyndwr University in top UK and global rankings.

See all 7 university rankings of Wrexham Glyndwr University

About Wrexham Glyndwr University

Located in the town of Wrexham, Wales, Wrexham Glyndwr University was founded in 2008, making it one of the youngest universities in the UK. Despite its youth, the university has earned itself a strong reputation nationally in a selection of its subject fields. Apart from the large number of study options on-site, busy or mature students also have the option of signing up for their entirely Online Master’s degrees, or studying on a part-time basis.

List of 101 Bachelor and Master Courses from Wrexham Glyndwr University - Course Catalogue

  • Media Degrees - Hear why students chose to study at Wrexham Glyndwr University
  • WGU Careers: What our Students Think
  • Student Stories from Wrexham Glyndwr University (2018)
  • Welcome to WGU from our student

Where is this programme taught

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