Why Study This Course?
On our Data Analytics MSc you’ll dive into vital subjects including data mining, statistical modelling, business intelligence and data visualisation. The course has been developed with direct input from industry experts who know the value of learning through real-life business cases. By the end of the master’s degree you’ll be ready to apply for rewarding roles in the data science and big data industries, as well as the many sectors and organisations that increasingly require data analysts.
Our Data Analytics MSc degree has been accredited with partial CITP status by BCS, The Chartered Institute for IT. This accreditation is a mark of assurance that the degree meets the standards set by BCS. As a graduate of this course, accreditation will also entitle you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute.
The course has also achieved partial CENG status by BCS on behalf of the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).
Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.
The course can also prepare you for the industry-recognised Oracle Professional Certification.
More About This Course
This postgraduate course will equip you with the theoretical, technical and practical skills required to become a data analyst. With an expert teaching team, access to specialist software and work on real-life business cases, you’ll be well prepared for a career in data analytics upon graduation.
The modules on this course have been developed with the help of industry professionals, some of whom will be present to teach you in specific classes. These experts will help you explore advanced techniques in data science. You’ll study specialist subjects including financial mathematics, statistical modelling and forecasting. What’s more, you’ll get the chance to develop your own unique piece of work in the MSc Project module.
You’ll also be trained to use specialist software tools and environments currently used by professionals in industry. As a partner of SAS® and Qlik Academic Programs, you’ll have access to these revered tools, along with R and Python programming, IBM SPSS, Tableau, Oracle and Hadoop. Familiarity with these will greatly enhance your employability upon graduation.
Studying this Data Analytics MSc will see you gain exposure to key industry resources and real-life business case scenarios:
- utilising real-world data from London Datastore will become second nature to you, building your skills to tackle real-world problems faced by communities
- our students have previously worked on projects with Lloyds Bank and Islington Council
- our academic team is eager for you to get involved with their research projects and publishing research papers, even providing students paid positions to participate
The modules listed below are for the academic year 2022/23 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.
Year 1 Modules Include:
Data Analysis and Visualization (core, 20 credits)
Data Mining and Machine Learning (core, 20 credits)
Data Warehousing and Big Data (core, 20 credits)
MSc Project (core, 60 credits)
Programming for Data Analytics (core, 20 credits)
Statistical Modelling and Forecasting (core, 20 credits)
Financial Mathematics (option, 20 credits)
Work Related Learning (option, 20 credits)
Where This Course Can Take You
Upon completion of the course, you’ll be well equipped to work in some of the fastest growing sectors of the data science and big data industries. A wide range of career opportunities will be open to you in the commercial, public and financial sectors, especially in areas requiring big data analysis such as consumer, healthcare, scientific, financial, security intelligence, business and social sciences.
Our data analytics graduates have gone on to secure exciting roles in diverse sectors including fintech, transportation, healthcare, research, environmental and education. The job roles range from data engineer, analytics manager, data solution developer, data analyst, Python developer.
The course also provides you with an excellent basis for further study if you want to pursue a higher level research degree or embark on an industry-based research career.