The MSc Business Analytics is a professionally accredited, one-year specialist programme for graduates with a bachelor's degree with a substantial quantitative component, and highly qualified graduates from other backgrounds with demonstrable advanced quantitative skills. It will suit graduates or early career professionals who wish to pursue a career in business analytics across sectors such as digital marketing, human resources, logistics, retail, finance, banking, insurance, healthcare, and agriculture.
An upper second-class undergraduate honours degree or international equivalent in any of the following subjects: Operational Research, Management Science, Decision science, Mathematics, Statistics, Data Science, Finance (not Accounting and Finance), Economics, Computer Science, Physics, Engineering, Biomedical/Life Sciences. OR An upper second-class honours degree or international equivalent in any discipline that includes 65% or above in at least 2 quantitative units. Examples of acceptable units include: Advanced Maths/ Algebra /Analysis /Bayesian Modelling /Calculus /Complex Functions /Decision Maths /Differential Equations / Ordinary Differential Equations /Discrete Mathematics /Econometrics /Financial Maths /Game Theory /Geometry /Information Theory /Kinematics /Kinetics /Quantum mechanics /Quantum computing /Linear Algebra /Linear Programming /Macroeconomics / Economics III / IV) /System dynamics /Thermodynamics /Complex systems/equilibrium /Mathematical Programming /Maths/mathematical methods/mathematical models/mathematical skills /Maths for Business / Business Maths /Maths for Economics /Mechanics (any type of mechanics) /Microeconomics (inc intermediate / advanced)/ Economics III / IV) /Multi Variate Analysis /Network Science /Number Theory /Optimisation /Probability (including stochastic models/methods (e.g. Markov chain model, monte carlo models)) /Proof / Intro to Proof /Pure Maths /Quantitative Methods /Statistics/Statistical Methods/Statistical Analysis etc /Time Series Analysis /Forecasting / Physics/Physical computing /Electronic/electrical engineering /Electricity and magnetism /Engineering materials /Geotechnical /materials/structural engineering /Analytical chemistry /Simulation /Probability /Computer Science (incl programming/algorithms) /Mechatronics /Data Mining/Data Science/ Data Analytics/business analytics /Management Science /Decision Analysis and Simulation; decision science /Operational research /Derivatives /Econometrics /Financial Modelling /Quantitative techniques (intro/ advanced) /Quantitative Methods /Quantitative Research Methods /Statistics/Statistical Methods/Statistical Analysis etc /Social network analysis /Computational research methods in the social sciences /Any computational methods /Machine learning /Robotics /Experiment (e.g. experimental design, studies or research; control trials) /Research methods in health/medical/biomedical/natural sciences. IELTS 7.0 overall with 6.5 in all skills
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