Cardiff School of Technologies>Courses>Data Science (Internship) - MSc/PgD/PgC
Data Science Masters

Data Science (Internship) Masters Degree - MSc/PgD/PgC

Key Facts

Place of Study: 
Llandaff Campus

School:
Cardiff School of Technologies

Course Length:
One year full-time, two years sandwich/Internship pathway, or three years part-time.

September and January intakes available.

Postgraduate Scholarships:
The university also offers a postgraduate scholarship scheme to help students whilst at university.
See if you are eligible.


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Our New School Premises
We are creating a new home for Cardiff School of Technologies. Find out more here.

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Meet the Team
Meet Dr Ambikesh Jayal, the Programme Director of the MSc Data Science course.

Student Blog

Merlin Mary Vincent Vedaraj – MSc Data Science
Studying MSc Data Science as an international student - My Cardiff Met experience
Merlin shares the highlights of studying Data Science at Cardiff Met as an international student.

Course Overview

This Master's degree in Data Science is an industry-relevant and popular postgraduate programme of study. Data Science and "Big Data" are more important than ever. Graduates trained to garner insights from large data sets, extract patterns and provide actionable information to solve real-world problems are sought after in both the private and public sector.

This course will equip you with in-demand theoretical knowledge and practical skills to develop data science systems, use software to analyse and synthesise data, and manage all aspects of data science.

The Data Science degree offers the following pathways of study:

  • Data Science - MSc/PgD/PgC

  • Data Science (Internship) - MSc/PgD/PgC

Industrial work experience is a key part of the programme. You will have the option to undertake a 20-credit internship module to gain professional experience with local and national companies relevant to the sector. If you wish the follow the Internship pathway, you will undertake a core 36-week placement in industry as an alternative to a Technology Dissertation.

Course Content

Compulsory modules for both pathways:

  • Technology Project Management (20 credits)
  • This module aims to foster in students a critical appreciation of project management principles and practices in preparation for when they will manage – or be managed via – technology projects.

  • Business Process & Data Analysis (20 credits)
  • This module is designed to enable the student to develop a critical appreciation of a range of business process analysis approaches and to explore key contemporary issues regarding their application in organisations.

  • Geospatial Analysis (20 credits)
  • This module aims to provide students with the opportunity to gain experience and develop skills in handling spatial data, and to both identify and understand any patterns revealed within that data through the application of various techniques in spatial analysis.

  • Programming for Data Analysis (20 credits)
  • The aim of this module is to help students acquire skills for job roles of Data Scientist, Data Modellers and Data Analyst. Students taking this module will have the opportunity to understand and implement various statistical and computational techniques for analysing datasets using various industry standard software and programming languages.

  • Research Methods for Technology Dissertations (20 credits)
  • The aim of this module is to equip the student with the skills, knowledge and techniques necessary to produce a dissertation with a research or technical focus.

  • Social Media Analytics for Business (20 credits)
  • This module provides students with the opportunity to gain experience and develop skills in handling social media data that is generated from user activity.

With specialist modules for pathways

For Data Science:

  • Information Security (optional module - 20 credits)
  • This module aims to provide an insight into the implementation of data security in computer systems and to encourage students to appreciate the practical and theoretical management principles associated with information security.

  • Internship (optional module - 20 credits)
  • The aim of this module is to enable students to critically demonstrate, through practical experience, a more in-depth and critical understanding of technical, management and / or leadership within an organisation in the private, public or not-for-profit sector.

  • Technology Dissertation (40 credits)
  • The aim of the technology project is for the student to apply knowledge, skills and techniques developed during directed and independent study to solve a real world technology related project. The technology project may take the form of an in-depth research project or the development of a computer system.

For Data Science (Internship):

  • Information Security (20 credits)
  • This module aims to provide an insight into the implementation of data security in computer systems and to encourage students to appreciate the practical and theoretical management principles associated with information security.

  • Internship Project (40 credits)
  • The aim of this module is to enable students to critically demonstrate, through practical experience, a more in-depth and critical understanding of technical, management and / or leadership within an organisation in the private, public or not-for-profit sector.

To obtain an MSc degree, you must follow and successfully complete a total of 180 credits. PgC (60 credits) and PgD (120 credits) may be awarded as standalone or exit awards.

Learning & Teaching

A range of teaching methods are used in the new Cardiff School of Technologies, including lectures, practical workshops, tutorials, seminars and real-world case studies, all supported by online learning via Moodle. With a student-centred approach, the School operates an open door policy to staff and all students will be assigned a personal tutor.

Lectures

Lectures are a major part of the teaching strategy for the programme. Lectures are an effective way of delivering core material and establishing a framework for a module against which other material can be set.

Modular Subject Tutorials

Tutorials are meetings of a student or group of students with a lecturer or lecturers and are used in two ways within the programme:

  • expanding upon material covered in lectures through an enquiry-driven problem solving approach
  • remedial work to overcome any deficiencies in a student's background knowledge.

Seminars

Seminars involve a student or students presenting previously prepared work to peers and a lecturer.  This strategy is used to extend specific theoretical or practical concepts as well as introducing problem solving exercises.  Seminars are used in most modules and provide students with valuable experience in presentational skills as well as providing staff with a method of assessing student-centred learning.

Practical Workshops

In these classes students are able to practise and refine their skills in a supportive environment where they can receive feedback from a member of academic staff.  Practical workshops represent a valuable transition between theory and the workplace.

Case Studies

Case studies are a teaching and learning strategy, employed in a range of modules; they also are a useful assessment tool.  Students are presented with or asked to develop real or simulated complex problems which they are required to analyse in detail and then synthesise/present their own solution in writing or orally.

Moodle

All modules will be supported by Moodle and provide students with a wide range of learning material and study guidance.

Assessment

Assessments take the form of examinations (seen/unseen, open book, essays/short answers), essays, practical assessments, presentations, role-plays, individual and group reports, and a dissertation or a developmental project.

Employability & Careers

The specialist knowledge you will acquire through the course will place you in a strong position to pursue a wide range of careers involving the analysis of data, including data analyst, data scientist, IT consultant and managerial roles in industry. The programme also gives you a range of computing skills that could be widely applied to any role within the fields of business and computing.

Entry Requirements & How to Apply

Applicants should meet one of the following:

  • Possess, or expect to obtain, an undergraduate degree or equivalent, in a relevant area with a minimum of a 2:2 classification;
  • Hold a suitable professional qualification from an appropriate professional body.

International Students:
Students whose first language is NOT English will need to provide evidence of fluency to at least an IELTS 6.0 standard.​

Selection Procedure:
Application form and if necessary an interview.

How to Apply:

Applications for this course should be made direct to the university via our self-service facility. For further information please visit our How to Apply pages at www.cardiffmet.ac.uk/howtoapply.

Additional Information

International Applicants:

Before making an application, international students (those outside of the EU), should contact the International Office at Cardiff Met to discuss the necessary procedures in relation to studying with us. For further information visit www.cardiffmet.ac.uk/international.

Tuition Fees and Financial Support:

For up to date information on tuition fees and the financial support that may be available. Please refer to www.cardiffmet.ac.uk/fees.

Part-time fees:
Charges are per Single Module unless specified:
Undergraduate = 10 Credits; Postgraduate = 20 Credits

Generally we find most students will complete 60 credits per year for both Undergraduate and Postgraduate study; to obtain a true costing please clarify this by contacting the Programme Director directly. 

Contact Us

For general enquiries please contact the Admissions Team on 029 2041 6044 or email askadmissions@cardiffmet.ac.uk.

For course specific enquiries, please contact the Programme Director Dr Ambikesh Jayal: ajayal@cardiffmet.ac.uk


Full terms & conditions in relation to accepting an offer to study at Cardiff Metropolitan University can be found by visiting www.cardiffmet.ac.uk/terms