16Oct
PostgraduateCourse summary
Please check the Sheffield Hallam University website for the latest information. Course summary
- Master industry-leading systems such as SAS for statistical data analysis, SQL for data manipulation and MongoDB for unstructured datasets.
- Learn and apply statistical data modelling, data storage and data mining techniques.
- Gain specific knowledge related to financial services, consultancy, regulation, supervision and compliance.
- This course will prepare you for analytics jobs in financial services.
- Teaching sessions
- Learning materials
- Recommended readings
- Problem-based learning
- Individual and group projects
- Contemporary software platforms
- Statistical analysis and machine learning techniques
- Database and programming technologies
- Statistical theory
- Marketing and insight
- Credit risk
- Data and technology
- Digital analytics
- Data science
- Bank of England
- OCF
- HSBC
- INC Research
- Axis Bank
- Customer insight analyst
- Credit risk analyst
- Fraud analyst
- Forensic analyst
- Big data architect
- Business intelligence developer
- Digital analyst
- Data scientist
Modules
Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances. You will be able to complete a placement year as part of this course. See the modules table below for further information. Compulsory Modules Advanced Portfolio Management Data Analytics: Tools And Techniques Dissertation For Computing Finance Global Financial Markets Industrial Expertise Introduction To Databases And Big Data Research Skills For Computing Study Skills And Project Management
Assessment method
Coursework Pratical
Entry requirements
Undergraduate degree academic qualification with classification of 2:2 or equivalent in Computing, Computer Science, Maths or Statistics, Data Analytics, Data Science or other relevant areas, or appropriate work experience. Applicants who have acquired significant knowledge and skills in data analytics, database design and development using industry standard platforms and development environments or significant experience in financial technologies would be considered for admission. If you are an International or non-UK European student, you need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | If you are an International or non-UK European student, you need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent. |
If you are an International or non-UK European student, you need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.
Please click the following link to find out more about English language requirements for this course:
https://www.shu.ac.uk/Courses/Computing/MSc-Data-Analytics-with-Banking-and-Finance/Full-time/
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Our postgraduate fees vary depending on course, level and mode of study. Each postgraduate course page tells you how much the tuition fees are, and what additional costs you might have to budget for during your studies. Please refer to our website for up-to-date information on costs and fees for both full-time and part-time postgraduate study options.
Sponsorship information
Scholarships, discounts and bursaries may be available to students who study this course.
Provider information
Sheffield Hallam University
City Campus
Howard Street
Sheffield
S1 1WB