Data Analytics MSc/PG Dip/PG Cert

Postgraduate

Online

Price on request

Description

  • Type

    Postgraduate

  • Methodology

    Online

  • Duration

    1 Year

  • Online campus

    Yes

  • Delivery of study materials

    Yes

  • Support service

    Yes

  • Virtual classes

    Yes

Professionals with the ability to interrogate datasets by applying analytical techniques to describe and predict business performance are in high demand worldwide. Designed to equip you with the technical expertise needed for a career in industry, this course will prepare you for roles in analytics by developing your technical expertise and professional skills in business intelligence.

The first semester modules focus on core topic areas such as statistics, database design and programming, enabling you to gain insights into large multivariate datasets and apply your problem-solving abilities to explore business opportunities and challenges faced by data scientists when using business intelligence systems.

In the second semester you will apply your technical knowledge and further progress your analytical expertise by focusing on specific data science subject areas such as big data, data mining and business intelligence. You will also be encouraged to demonstrate your technical and analytical abilities in response to real-world problems during your final-semester individual project.

Our graduates leave with sought-after skills for business intelligence and data mining roles within any field of data science. Opportunities also exist for further academic study towards a doctorate degree and a career in research.

Facilities

Location

Start date

Online

Start date

SeptemberEnrolment now closed
JanuaryEnrolment now closed

About this course

This course prepares graduates for business intelligence and data mining roles within any target industry. There is a very high market demand for SAS expertise, and our graduates will be able to take up such opportunities. You will also be well placed to take up more general management and business information systems development roles within industry, and to undertake academic research in this field.

You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject.

We are happy to consider equivalent qualifications from anywhere in the world.

If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. English Language tuition, delivered by our British Council accredited Centre for English Language Learning, is available both before and throughout the course if you need it.

With our 50-year history of teaching computing, you will benefit from established academic expertise, as well as gaining insight into real-world problem solving from our SAS-accredited staff.
Enhance your employability by developing substantial knowledge and skills in the deployment of SAS industry-standard software.
Sharpen skills by using software and techniques such as Apache Spark and the Hadoop Distributed File System to demonstrate data mining and machine learning algorithms.
Access dedicated computing laboratories, fully equipped with HP dual-boot and all-in-one computers and a high-performance file server.
Gain an insight into real-world issues and solutions through our research groups. You will have the opportunity to attend guest lectures and seminars to expand your understanding of the impact of current research.
Boost your career prospects through an optional one-year placement year in industry*, where you will be able to build contacts and transferable skills. Past students have completed placements with management consultancies, retailers and companies including Bosch Thermotechnology.

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Reviews

This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 15 years

Subjects

  • Data Mining
  • Design
  • Project
  • Systems
  • Industry
  • Business Intelligence
  • Programming
  • Statistics
  • Research methods
  • Warehouse

Course programme

Course modules

First semester
  • Statistics
  • Business Intelligence Systems Concepts and Method
  • Research Methods
  • Data Warehouse Design and OLAP
Second semester
  • Business Intelligence Systems Application and Development
  • Big Data Analytics
  • Data Mining Techniques and Applications
  • Analytics Programming
Third semester
  • Individual project
Teaching and assessments

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

The course is run in association with SAS, the leading independent vendor in the business intelligence industry, and you will gain substantial SAS software skills as part of your study.

First semester modules provide you with fundamental abilities in the use of statistics so that you can gain insights and practice of using business intelligence systems and analytics programming to exploit multidimensional data sets.

In the second semester you are exposed to a variety of business intelligence systems, including those that use big data and data mining techniques. A further module prepares students to undertake an individual research project. This project module allows you to undertake extensive research into an aspect of big data, and/or provides an opportunity to develop and demonstrate your analytical and processing abilities in response to a given practical problem.

Contact and learning hours

You will normally attend 3 hours of timetabled taught sessions each week for each module undertaken during term time, for full time study this would be 12 hours per week during term time. You are expected to undertake around 24 further hours of independent study and assignments as required per week.

Alternate study modes and entry points may change the timetabled session available, please contact us for details.

Additional information

Programme code: I20071

Duration: One year full-time (with optional one-year placement available), 18 months for January starts or two to six years part-time.

Fees and funding:  2021/22 full-time fees for UK students: £8,170 per year. For 2021/22 entry, part-time fees will be £680 per 15 credits.

Data Analytics MSc/PG Dip/PG Cert

Price on request