Taught course

Data Science and Analytics

Institution
University of Chichester · Business School
Qualifications
MSc

Entry requirements

A 2:2 in an appropriate course with a B grade in Maths at A level or equivalent

Months of entry

September

Course content

Our IT systems and devices are constantly creating data and the amount of data created and stored grows exponentially. Data, and in particular patterns and trends within data, have the ability to inform and provide valuable insights, that help us predict and diagnose specific outcomes. Whilst the amount of data grows, the science of gaining insights from this data grows with it. Industry, research institutions and government all seek to extract value from data to improve products and services, serve their customers better and run more operationally efficient organisations. Data Scientists use their mathematical, computational and presentational skills to mine data for value and their skills are highly sort after. There is a significant shortage of skilled Data Scientists and so there are many job opportunities available

We have designed this MSc course in consultation with industry partners.
This has enabled us to understand their needs for Data Scientists, what skills will be required and on successful completion of this course individuals will be highly employable within businesses.
Having this close understanding of what industry needs makes this course relatively unique and the very best suited to these looking for a career in the Data Sciences.
The course will be of specific interest to :
  • A mathematics graduate wishing to use your skills in a vocational business based environment
  • A computer science graduate wishing to follow a vocational route
  • Individuals currently working in Business and looking to grow their career through gaining Data Science and Business Analytics skills
Six modules go to make up this MSc:
  • Data Science Foundation
  • Managing Data
  • Data Exploration and Analysis
  • Mathematics
  • Machine Learning & Cognitive Computing
  • Data Visualisation and Presentation
The 1 year full time MSc course will be stimulating and interactive, making use of lectures, self-learning, workshops and hands-on projects.
You will be assigned a Personal Tutor from the start of your course who will work with you throughout your studies to help you achieve your academic best.
The knowledge we provide you with in these areas will give you all of the essential know-how on methods, tools and techniques to deliver in your career as a Data Scientist.
We believe Data Science is very much an intellectual ‘contact sport’ and through this course we provide you with every opportunity to put your theoretical knowledge into practice.
T
he project work we have imbedded within the course has been chosen and developed based on real-world scenarios across a range of industry and government sectors and is specifically designed to:
  • Provide an essential link between your theoretical learning and real-world challenges
  • Create an environment where you decide the methods and tools best suited to the challenge based on what you have learnt
  • Recreate some of the challenges facing industry and Government today and those very similar to what you will encounter in the workplace as a Data Scientist
  • Be adaptable to reflect new methods / tools and scenarios in this fast developing discipline
  • Be able upon completion of the projects to reference your experience in working with such challenges
Where this can take you
The course has been designed to provide you with a very practical understanding of the issues associated with sourcing, curating, analysing and presenting data in business and other public sector and not-for-profit organisations.
On completion of your MSc studies and successful graduation, you will have very transferable skills and can choose to move directly in to the workplace perhaps in retail, banking, government or transport.
Indicative modules:
  • Data Science Foundation (20 Credits)
  • Managing Data (20 Credits)
  • Data Exploration and Analysis (20 Credits)
  • Mathematics (20 Credits)
  • Machine Learning & Cognitive Computing (20 Credits)
  • Data Visualisation and Presentation (20 Credits)
  • Dissertation/Project (60 Credits)
Teaching assessment
Our approach to supporting your learning, and how your learning is assessed, is designed to mirror the workplace environment. With this in mind, key features of our approach to learning and assessment include the following:
  • We place a lot of emphasis on course work related activity.
  • Opportunities to work with organisations on current commercial/business problems and projects. These experiences are used to provide the basis for assessments that enable you to apply your learning within authentic commercial situations.

Qualification and course duration

MSc

part time
24 months
full time
12 months

Course contact details

Name
Admissions
Email
admissions@chi.ac.uk