| Level | Masters |
| Discipline | Arts and Humanities |
| Duration | 12 months |
| Intakes | Sep |
| Application Fees | GBP 0 |
| Tuition Fees | GBP 22700 |
| Campus | Clifton |
| Language proficiency (minimum) | |
| IELTS | 6.5 |
|---|---|
| TOEFL | 88 |
| PTE | 66 |
| Duolingo | Not Accepted |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
A strong upper second-class honours degree (65% or higher) in Mathematics, Engineering, Data Science, Computer Science, or Physics. OR If your degree subject is not listed above, you must have evidence of an upper second class honours degree which includes three units of mathematics (see Maths qualification requirements) with 60% or above in each unit. OR Applicants with an Economics degree must have evidence of 2:1 in macroeconomics, microeconomics and econometrics units. If your degree subject is not listed in the main entry requirements, you must have evidence of an upper second class honours degree which includes three units of mathematics with 60% or above (or international equivalent) in each unit. Examples of acceptable units include: Advanced Maths (introductory maths does not count towards maths unit requirements) Analysis Auditing Bayesian Modelling Calculus Complex Functions Computer Science (including programming/algorithms) Data Mining/Data Science/Data Analytics Decision Analysis and Simulation Decision Maths Derivatives Differential Equations/Ordinary Differential Equations Discrete Mathematics Econometrics (including 'introductory' 'foundations of'; and 'advanced') Financial Analysis Financial Maths Financial Modelling Financial Reporting Game Theory Geometry Information Theory Investment Analysis Kinematics Linear Algebra Linear Programming Macroeconomics (including intermediate/advanced) Management Science Mathematical Programming Maths for Economics Mechanics (any type of mechanics) Mechatronics Micreoconomics (including intermediate/advanced) Multi Variate Analysis Network Science Number Theory Optimisation Probability Proof/Intro to Proof Pure Maths Quantitative techniques Quantitative Methods Research Methods Statement Analysis Statistics/Statistical Methods/Statistical Analysis Supply Chain management/Logistics Management Time Series Analysis
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