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Teesside University: Artificial Intelligence with Data Analytics
| Institution | Teesside University |
|---|---|
| Department | Computing |
| Web | http://www.tees.ac.uk |
| scedtadmissions@tees.ac.uk | |
| Study type | Taught |
Summary
This course is designed for graduates seeking to build on existing skills to develop specific expertise in the field of artificial intelligence and data analytics.
You strengthen and deepen your skills on the cutting edge of computer science and are prepared to make the transition from programmers to team leaders and designers. Particular features include:
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In addition to major themes of artificial intelligence and data analytics, you also focus on a supporting strand of statistical methods and research methods to provide the academic rigour required for postgraduate study and the practical skills for entry to industry.
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You experience new trends pervading the software industry that influence a wide range of applications, from supply chain analysis to pharmaceutical manufacture.
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You benefit from a range of authentic and engaging learning experiences and assessments.
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The course encapsulates leading edge skills, solid programming experience, research expertise and industry experience.
Visit Teesside University’s website to apply to start in September or January. You may wish to study our two year advanced practice route which enhances your qualification by adding a vocational or research-based internship.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should normally have a good honours degree (2.2 or above) or relevant experience or equivalent qualifications. Acceptable subjects include artificial intelligence, computer forensics, computer science, computing, information technology, artificial intelligence, data science, computer forensics and digital forensics. Non-UK students must also meet the University's minimum English language requirements. |
| Location | Teesside University Borough Road Middlesbrough TS1 3BX |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants should normally have a good honours degree (2.2 or above) or relevant experience or equivalent qualifications. Acceptable subjects include artificial intelligence, computer forensics, computer science, computing, information technology, artificial intelligence, data science, computer forensics and digital forensics. Non-UK students must also meet the University's minimum English language requirements. |
| Location | Teesside University Borough Road Middlesbrough TS1 3BX |
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