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MSc Business Data Analytics

  • DeadlineStudy Details:

    1 year full-time; 2 years part-time

Course Description

Data analytics attracts considerable international attention, with the current and forecasted demand for skilled graduates in data analytics far outstripping the supply. There has been a phenomenal recent growth rate in the need for expertise in data analytics (e.g. relating to big data, in financial technology, and in marketing). Strong and sustained trends in the ever wider proliferation of data have led to employers in varied industries and businesses seeking staff with postgraduate level skills in data analytics.

Entry Requirements

Candidates should have a good first Honours degree of 2(ii) or higher or equivalent from a university or another approved degree-awarding body. Alternatively, possession of an approved professional qualification and relevant practical experience may also be considered. Candidates who do not have a formal degree or professional qualification, but have minimum 3 year of approved management experience will also be considered.

We ask that all candidates submit their CV with their application system to confirm eligibility for a specific route.

If your native language is not English, you must provide satisfactory evidence that you have an adequate knowledge and understanding of written and spoken English: IELTS score of 6.0 (no component below 5.5) or equivalent.

Please note: It may be necessary for applicants falling short of minimum English language levels to attend an intensive Pre-sessional English Language course. Such courses are available at Bangor.

Fees

See our website for fees

Student Destinations

The field of data analytics is full of opportunities and has guaranteed future growth, which naturally leads to excellent career directions and rewards. Graduates of this MSc programme will be well prepared for potential roles in a wide range of sectors of the global economy. The rapid expansion in the generation and use of data creates growing demand for qualified experts with the ability and skills to extract the benefits and meaning from the data. Several reports have confidently indicated that the vast majority of companies will adopt data analytics technologies during the next decade. A background in data analytics can open opportunities in many departments and functions within both private and public sector organisations. Future roles may include: Data Scientist, Data Analyst, Business Intelligence Analyst, Data Architect, Business Systems Analyst, Financial Analyst, Marketing Analyst, Healthcare Analyst, Social Media Analyst, Political Data Analyst.

Module Details

The programme is delivered using a range of learning settings including lectures, small group classes and tutorials, computer labs, and supervision by academic staff. There will be opportunities for collaborative and group work among a wide range of assessment methods. In addition to the two main semesters, the summer period provides essential opportunities for project work, dissertations and further independent study.

This programme provides a core of modules in coding/programming, data science, financial technology, research methodology and statistical techniques. Moreover, there is a focus on developing the necessary skills to utilise these tools in a range of business and finance applications.

Optional modules in entrepreneurship, financial markets, knowledge management and portfolio management allow you to blend the technical skills with expertise in other areas where your interests may lie and develop. You will acquire technical skills and learn about the practical applications of these skills to business problems across a range of industry sectors like finance and investment, marketing, and health.

The summer project offerings are varied and include the option to undertake Chartered Financial Analyst (CFA) training. The CFA is a globally recognized qualification in the finance and investment industry. A Bangor MSc graduate with expertise in both data analytics and the CFA syllabus will be uniquely well placed for a career in finance or investment.

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