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University of Essex

Course: MSc Optimisation and Data Analytics

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Course Details

School: University of Essex

Subject area: Optimisation and Data Analytics

Level: MSc

Degree duration: 1 year

Degree intake date(s): October

Annual tuition fee: £22,750

*Note: The fees quoted above are subject to change by the course provider and are for guidance only. If your application is successful, a detailed breakdown of fees will be provided with your offer.

This one-year Master of Science program in Optimisation and Data Analytics, offered by the School of Mathematics, Statistics and Actuarial Science within the Faculty of Science and Health, equips students with advanced knowledge and skills in mathematical optimisation techniques and data analysis methodologies. The curriculum likely covers topics such as linear and nonlinear programming, network optimisation, statistical modelling, machine learning, data mining, and the application of these methods to solve real-world problems across various industries.
Career options for graduates with an MSc in Optimisation and Data Analytics are diverse and in high demand in today's data-driven world. Potential roles include Data Scientist, Data Analyst, Operations Research Analyst, Business Analyst, Quantitative Analyst, and Consultant across sectors such as finance, technology, logistics, healthcare, and government. The program provides a strong foundation in both the theoretical and practical aspects of optimisation and data analysis.
The University of Essex fosters a forward-thinking environment with a diverse international community, providing a rich and inclusive learning experience. While Essex is particularly recognized as a center of world-leading research excellence for the social sciences, the School of Mathematics, Statistics and Actuarial Science also offers strong research-led teaching in quantitative fields. The university's location offers a balance, being close to beautiful countryside while also providing convenient access to London via a one-hour train journey.
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