Master of Science [M.Sc] [Business Analytics] From University of Warwick

You will cover a balance of descriptive, predictive, and prescriptive analytics, involving visualisation (Tableau), forecasting and data mining techniques, and optimisation. Gain a cross-disciplinary training in business models, quantitative methods and data science, and prepare for a future career working in complex data-driven environments.

You will also further develop your programming skills in SQL, R, and Python, and gain guidance in obtaining optional certification as Associate Certified Analytics Professional. This globally recognised certification is offered by the INFORMS (USA) and the Operational Research Society (UK), and the required knowledge to pass the certification exam is closely aligned with the core content of this course.

This course is for graduates who want to pursue a career in business analytics.

How can companies use ‘big data’ to gain business insight? This course will teach you how to convert data into knowledge. Get hands-on practical experience using the latest business intelligence software and interpreting real data.

This course includes guest lectures from industry experts, and a unit co-delivered by a specialist from IBM.

This course aims to help you become a highly trained analyst, capable of interpreting data to find new patterns and relationships, informing business decisions accordingly, so as to drive growth and successful business performance.

During this course you will have the chance to:

Develop quantitative and data mining skills to solve business problems.Learn to generate value from Big Data, which cannot be analysed using traditional techniques.Apply theory to practical situations through case studies and projects from industry.Gain hands-on experience of up-to-date technology including SPSS and NVivo, with access to multiple data resources.

2.1 achieved at Undergraduate level 

• Bachelor degree with a final overall result of at least First Class
• Your degree can be in any discipline but you must have studied a subject with high quantitative content. You will be better suited to this course if you have studied business or management, or studied a subject with high quantitative content, such as:
• mathematics/statistics
• computer science
• engineering
• physics
• a quantitative social science