100% Online MSc Data Analytics |Robert Kennedy College

100% Online MSc Data Analytics

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At a glance

Duration: Minimum 12 months, maximum 5 years.

Delivery Method: 100% online via OnlineCampus (an interactive online learning environment) with intensive class discussion and collaboration.

Computers and the advent of the Internet have brought upon the world the age of information and big data, and organisations want to retain as much information as possible about their business as they appreciate the role of data in gaining insights and out-thinking competitors. As a result, there is an increasing demand for people who nurture analytical skills and can make educated decisions to promote organisational success. The MSc Data Analytics is designed to accommodate a broad audience of learners whose particular pursuits in data analytics might be either technical or business focused. The programme makes use of academic research, industry-defined practical problems, and case studies, to offer an approach that will genuinely foster a deeper knowledge of the subject area.

The MSc programmes benefit greatly from the internationality derived from recruiting students from across the globe, and drawing on tutors well qualified in their field.


University of Cumbria

This programme is offered in exclusive partnership with the University of Cumbria.

The University of Cumbria received the University title and degree awarding powers by Her Majesty’s Most Honourable Privy Council in 2007.

The University is fully recognised by the British Government and duly listed on the United Kingdom’s Department for Education list of recognised UK awarding institutions. You can verify their official University status directly at the UK Government Website.

After successfully completing your studies online at Robert Kennedy College you will receive an Internationally recognised British degree from the University of Cumbria.


Admission Requirements

We welcome applications from students who may not meet the formal entry criteria but who have relevant experience or the ability to pursue the course successfully.

The formal entry requirements are:

  • An honours degree at 2:2 or above.

  • English language at IELTS 6.5 (minimum of 5.5 in each component).

Applications are considered from candidates who do not meet the formal entry requirements but can provide evidence of equivalence.

Examples of equivalence are:

  • A wide range of professional qualifications and/or work experience.

  • Working or studying in English or an English-speaking environment.

Applications will be considered from candidates who do not meet the formal entry requirements but who can demonstrate by interview the commitment to complete the programme successfully.


Programme Outline

The scheme has been designed to meet the aims of the online MSc in a flexible manner and can be tailored to the individual preferences of each student. The MSc requires you to complete six courses plus a final dissertation. The programme consists of the following modules:

Introductory

Not-for-credit

Induction

This is the first module of the programme which gives an orientation to the course and the online learning style. It does not carry credits, and students are encouraged to go through the material in this module at their own pace and get accustomed to the online medium.

Stage 1

120 credits - Six taught modules

Core

  • Information Management
  • Digital Marketing
  • Advanced Databases
  • Data Analytics
  • Artificial Intelligence

Elective

Choose one of the following modules:

  • Corporate Strategy and Competitiveness
  • Internet of Things

Stage 2

60 credits - Individual dissertation

Research Methods Live Class

  • One week intensive live lectures online to prepare for your final dissertation.

  • A conventional dissertation of 12,000 to 15,000 words, consisting of research question, aims and objectives, rationale for undertaking the study, literature review, research methodology, analysis of findings, conclusions and recommendations.


Tuition Fees

12,000 CHF (Swiss Francs). This fee includes library access, OnlineCampus access, graduation fees, and University matriculation fees. Fees are payable in interest free instalments, however, the programme is not eligible for the UK Government student finance.


Module Description

There are no average courses within our MSc programme. We are bound to provide an exceptional learning experience, and there is no better way to achieve this aim than with outstanding courses. They have been carefully crafted by experienced professors and are all meant to make you a more successful and efficient manager.

There are no old-fashioned exams. Instead you are given real-life case studies and essays, which allow you to think critically about your company and your own career. All this might seem too glossy but there is one catch: we do not accept average candidates. Only individuals as outstanding as our values can find their way toward admission at the Robert Kennedy College.

INDUCTION

Not-for-credit module

A not-for-credit induction module will be the starting point of the programme. The induction process is designed to familiarise you with the programme design, requirements and resources, as well as with the way online interaction, learning and grading will take place. After the induction you should be familiar with academic life, including academic writing, library services and library access, OnlineCampus access, and academic support services.

Information Management

This module enables you to develop a conceptual and comprehensive understanding of the manager's role in relation to the leading of the effective management and use of information, information technology and information systems and to apply these within both organisational and strategic contexts.

Digital Marketing

The primary aim of this module is to provide the student with a deep understanding of the issues facing digital marketing managers, by examining the strategically significant issues facing e-commerce such as environment and online marketplace, consumer behaviour and digital influence. The aim is to actively develop students’ knowledge of key marketing and digital marketing theories and apply this knowledge to strategic issues based on current research and industry practice, and facilitate the effective strategic decision making of a digital marketing professional.

Advanced Databases

The aim of this module is to critically explore the range of concepts and functions of database systems and data management, the fundamental concepts and essentials of the mechanisms that are used in both high-performance transaction processing systems (OLTP) and large-scale analytical systems (OLAP), evaluating both efficiency and correctness of the applications of these designs.

Data Analytics

The aim of this module is to critically explore the range of concepts and functions of data analytics, including preparing and operating with data; abstracting and modelling an analytic question; and using tools from statistics, learning and mining to address these questions, evaluating the techniques dealing with how to go from raw data to a greater understanding of the patterns and structures within the data, to provision making predictions and decision making.

Artificial Intelligence

The aim of this module is to critically explore the range of concepts and functions of artificial intelligence in order to help develop a solid understanding of the guiding principles of AI, evaluating how the concepts of machine learning can be applied to real life business problems and applications.

Corporate Strategy and Competitiveness Elective module

This module aims to introduce students to the importance of competitiveness to firms, regions and countries, as a means of improving wealth. Students will learn how to use various models for strategy development for institutions, and tools for improving their competitiveness, applying theories developed by Professor Michael E. Porter at Harvard Business School.

Internet of Things Elective module

IoT, short for Internet of Things, is the ever-growing network of objects that use their data transmission capabilities to communicate with other devices over the Internet. This promises to create new business models, improve business processes and reduce costs and risks. The aim of this module is to critically explore the range of concepts and functions employed by IoT technologies while evaluating the efficiency and correctness of the applications of such designs.