About

Artificial Intelligence with Data Analytics (with Advanced Practice) at Teesside University at Main

The MSc Artificial Intelligence with Data Analytics course is designed for graduates seeking to build on their existing skills to develop specific expertise in the field of artificial intelligence and data analytics.

Students strengthen and deepen their 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:

In addition to major themes of artificial intelligence and data analytics, students also focus on a supporting strand of statistical methods and research methods to provide the academic rigor required for postgraduate study and the practical skills for entry to industry.
Students experience new trends pervading the software industry that influence a wide range of applications, from supply chain analysis to pharmaceutical manufacture.
Students benefit from a range of authentic and engaging learning experiences and assessments.
It is particularly suited to overseas students who wish to develop practical and cutting edge skills for entry to their local computer science industry.
The fixed module diet presents a unique course that encapsulates leading edge skills, solid programming experience, research expertise and industry experience.

Level	Masters
Discipline	Computer Science and IT
Duration	24 months
Intakes	Jan, Sep
Application Fees	GBP 0
Tuition Fees	GBP 9000
Campus	Main

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Admission Requirements

Language proficiency (minimum)
IELTS	6
TOEFL	80
PTE	59
Duolingo	Not Accepted

Exam proficiency (minimum)
SAT	Not Required / Waiver
ACT	Not Required / Waiver
GRE	Not Required / Waiver
GMAT	Not Required / Waiver

Requirements

Minimum GPA - 60%

Rankings

1371

QS Ranking

QS Quacquarelli Symonds is the world’s leading provider of services, analytics, and insight to the global higher education sector, whose mission is to enable motivated people anywhere in the world to fulfil their potential through educational achievement, international mobility, and career development.

THE Ranking

THE (Times Higher Education) has been providing trusted performance data on universities for students and their families, academics, university leaders, governments and industry, since 2004. We create university rankings to assess university performance on the global stage and to provide a resource for readers to understand the different missions and successes of higher education institutions.

Shanghai Ranking

The Academic Ranking of World Universities (ARWU) was first published in June 2003 by the Center for World-Class Universities (CWCU), Graduate School of Education (formerly the Institute of Higher Education) of Shanghai Jiao Tong University, China, and updated on an annual basis

Webometrics Ranking

The "Webometrics Ranking of World Universities" is an initiative of the Cybermetrics Lab, a research group belonging to the Consejo Superior de Investigaciones Científicas (CSIC), the largest public research body in Spain. CSIC is among the first basic research organizations in Europe. The CSIC consisted in 2006 of 126 centers and institutes distributed throughout Spain.