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Applied Data Science at Teesside University, Middlesbrough - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Data scientists are responsible for the handling of raw data, analysing it, identifying patterns and presenting insights in a manner that is useful for forecasting and predicting business problems. The data science field uses mathematics, statistics, machine learning, a range of computer science disciplines and a common toolset such as Python, SQL, and R. Data scientists are in high demand as government departments and leading companies realise the importance of big data and its applications to developing successful strategies in their decision making or business relations. You gain technical and critical thinking skills in applying knowledge of data science to real-world problems, and learn fundamentals of software for digital innovation, applied machine learning, big data and business intelligence, interactive visualisation of data, and applications. You explore professional, ethical, security and social implications of future data science technologies, and gain a range of transferable skills to progress into industry. Progressing from almost any first degree discipline, you gain leading-edge skills, solid programming experience, research expertise and optional industry experience to enter this field and rapidly expanding job market. We prepare you for a career in industry. In addition to your taught classes, we create opportunities for you to meet and network with our industry partners through events such as our ExpoSeries, which showcases student work to industry. ExpoTees is the pinnacle of the ExpoSeries with businesses from across the UK coming to the campus to meet our exceptional students, with a view to recruitment. The increasing need to leverage big data has motivated many industries to hire data scientists to predict the outcomes and provide meaningful interpretations. Companies hiring data science professionals include American Express, AstraZeneca, BBC, IBM, Mastercard, Rolls Royce, Space Ape Games, Warner Bros. Entertainment, WhatsApp, plus many more. Graduates can expect to find employment in one of the increasing number of sectors needing specialists equipped with the cutting-edge expertise in financial and digital technologies. According to itjobswatch.co.uk, the median salary in the UK for data science professionals is £65k but the top 10% can earn upwards of £100k. Visit Teesside University’s website to apply. You may wish to study our two year advanced practice route which enhances your qualification by adding a vocational or research-based internship.

Modules

Access course information through Teesside University’s website using the course page link provided (or visit www.tees.ac.uk).

Assessment method

You are assessed on your subject-specific knowledge, cognitive and intellectual skills and transferable skills applicable to the workplace. The assessments include assignments, tests, case studies, presentations, research proposal and literature review, and a dissertation. The assessments may include individual or group essays or reports. The assessment criteria, where appropriate, includes assessment of presentation skills and report writing.


How to apply

International applicants

Select your country/region to find out about our entry requirements, our local offices and agents in your area and to check key deadlines for deposits and pre-CAS documents: tees.ac.uk/international.

Entry requirements

Applicants should normally have a good honours degree (2.2 or above) or relevant experience or equivalent qualifications. Acceptable subjects EXCLUDE BSc (Hons) Computer Science, BSc (Hons) Artificial Intelligence and BSc (Hons) Data Science. Entry from some first degree disciplines including BSc (Hons) Computing and BSc (Hons) Information Technology depends on course content. You are required to provide a full transcript of studies to enable our admissions team to determine your eligibility. Non-UK students must also meet the University's minimum English language requirements.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Find out more about fees, funding and scholarships if you are from the UK or Ireland here: tees.ac.uk/pg or from your course page.
Applied Data Science at Teesside University, Middlesbrough - UCAS