MSc Big Data Analytics
Sheffield Hallam University
Key Information
Campus location
Sheffield, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 - 2 year
Pace
Full time
Tuition fees
GBP 16,385 *
Application deadline
31 May 2024
Earliest start date
Sep 2024
* for international/EU students (£1,500 for placement year) | £9,910 for UK students (£1,500 for placement year)
Introduction
Develop skills in big data technologies, analytics and industry-standard software to work at the forefront of this rapidly expanding industry.
- Learn to use industry-leading software including SAS, R, Python and the Apache HaDoop Ecosystem
- Obtain knowledge of data storage, data mining and statistical modelling techniques
- Study aspects related to the distribution and integration of data
- Gain up to twelve months real-world experience through the two-year work experience route
This course has been developed in consultation with industry to produce graduates equipped to work with the large amounts of data now common to many businesses.
Curriculum
This course explores statistics, computing and management to help put you at the forefront of this vitally important field. You will gain an insight into Data Analytics, including Statistical Modelling and Data Mining, Big Data and Distributed Systems, Data Integration, Programming Concepts and Practice, and the core skills around professionalism, project management and research.
Our partnerships with business inform the course design, ensuring the content is relevant, up-to-date and meets the needs of industry. These partnerships also enable the inclusion of cutting-edge software such as SAS, Python, RStudio and others.
You learn through
- teaching sessions
- learning materials
- recommended readings
- problem-based learning
- group projects
- contemporary software platforms
This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar.
Applied learning
Work placements
You will have the opportunity to go on a work placement for up to 12 months starting during the summer of your second year. You are supported in finding placements and can apply for a vacancy as you would a job. There are dedicated sessions to support you in CV writing, interview skills and job applications. Previous students secured placements in roles such as
- data analysts
- business analysts
- credit risk analysts
- data scientists
- digital data analyst
- data engineer
- management information analyst.
- Live projects
You will have the opportunity to work on real work-based projects supplied by an external company or emulated industry case studies. You apply the skills and knowledge gained from your studies in topics such as data integration, statistical modelling, big data and distributed systems to situations of genuine complexity.
Networking opportunities
The teaching team make use of their research and industry connections to facilitate the inclusion of real work scenarios and case studies within many of the modules.
There are many industries that make use of the skills developed on the course once you have graduated, including:
- Pharmaceuticals
- Finance
- Marketing
- Retail
Public and Private Sector organisations such as: Police, Government, NHS, Amazon, Facebook, UK Ministry of Defence, HSBC and GSK all make use of data management/analytics extensively to help them to better understand their customers and to make informed business decisions. IBM ranked these jobs as one of the most difficult for employers to recruit, due in part to the shortage of skills in this area.
Career Opportunities
This course prepares you for a career in
- statistical analysis and machine learning techniques
- database and programming technologies
- statistical theory
- marketing and insight
- credit risk
- data and technology
- digital analytics
- data science
Previous graduates of this course have gone on to work for the following companies
- Bank of England
- OCF
- HSBC
- INC Research
- Tata Consultancy Services
- HM Revenue and Customs
- Axis Bank
Some of the associated careers in these fields are
- customer insight analyst
- credit risk analyst
- fraud analyst
- forensic analyst
- big data architect
- business intelligence developer
- digital analyst
- data scientist
Facilities
Admissions
Scholarships and Funding
We are offering competitive scholarships, discounts and awards for international fee paying students.
Gallery
English Language Requirements
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