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Computer Science×

University of Strathclyde, Full Time Masters Degrees in Computer Science

We have 7 University of Strathclyde, Full Time Masters Degrees in Computer Science

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Computer science supports the build, development and use of computer systems. Systems development is of great importance in many areas of modern life. Read more

Why this course?

Computer science supports the build, development and use of computer systems.

Systems development is of great importance in many areas of modern life. There is a growing need across the world for skilled, advanced computer science professionals.

This course offers you the opportunity to take a programme of advanced study through a flexible structure.

See the website https://www.strath.ac.uk/courses/postgraduatetaught/advancedcomputerscience/

You’ll study

Diploma and MSc students follow the same taught courses for the first two semesters. MSc students also undertake an individual research dissertation on an approved topic.

Compulsory classes are Personal Study and Research Methods. Plus you’ll choose a range of optional modules in Advance Software Engineering, Enterprise Information Systems and Mobile Systems.

Learning & teaching

The course is taught through lectures, tutorials and practical laboratories. Dissertation is by supervision

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.

To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form. To ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Careers

There'll be opportunities for you to meet industry employers and take part in recruitment events.

As a graduate of advanced computing science you could be an analyst, architect or developer. There's a demand for advanced practitioners and researchers in the growing area of embedded systems development.

How much will I earn?

- Systems Analyst - typical salaries for junior analysts are around £25,000. More experienced analysts earn £40,000 a year, on average.*
- Applications Developer - graduate salaries start at around £20,000. This can vary depending on the size of the employer and the sector which you're working in. The typical salary range for a senior applications developer is approximately £45,000 to £50,000.*

*Information is intended only as a guide.

Find information on Scholarships here http://www.strath.ac.uk/search/scholarships/

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This course will allow you to select leading classes that span the breadth of both computer and information sciences, including theoretical computer science, human-computer interaction, information sciences, software engineering, machine learning and big data. Read more
This course will allow you to select leading classes that span the breadth of both computer and information sciences, including theoretical computer science, human-computer interaction, information sciences, software engineering, machine learning and big data.

You’ll study

You'll gain an understanding of the new challenges posed by the advent of the big data revolution, particularly in relation to its modelling, storage, and access. You'll also come to understand the key algorithms and techniques embodied within data analytics solutions, and be exposed to a number of different big data technologies and techniques, seeing how they can achieve efficiency and scalability, while also addressing design trade-offs and their impacts.

You'll learn key technologies that are at the heart of big data analytics such as NoSQL databases and Hadoop and the Map-Reduce programming paradigm. You will also be equipped with a sound understanding of the principles of machine learning and a range of popular approaches, along with the knowledge of how and when to apply these.

You will also have the opportunity to implement and experiment with these machine learning algorithms using the most popular languages such as R and Python, and explore their applications to areas as diverse as analysing activity-related data captured using a smartphone to financial time-series prediction.

Individual project/dissertation

You’ll take on an individual research project on an approved topic related to your selected pathway. You’ll pursue a specific interest in further depth, giving scope for original thought, research and technical presentation of complex ideas.

Course content

Compulsory classes
-Legal, ethical and professional issues for the information society
-Distributed Information Systems
-Big Data Technologies
-Machine Learning for Data Analytics
-Research project

Elective classes - Choose two from the following:
-Advanced Topics in Software Engineering
-Mobile Software Applications
-Evolutionary Computing for Finance

Teaching methods include lectures, tutorials and practical laboratories. Dissertation is by supervision.

You’ll also have the opportunity to meet industry employers and participate in recruitment events.

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Computer science supports the build, development and use of computer systems. There is a growing need across the world for skilled, advanced computer science professionals. Read more

Why this course?

Computer science supports the build, development and use of computer systems.

There is a growing need across the world for skilled, advanced computer science professionals. This course helps you develop the skills necessary to design and deploy sophisticated modern software systems in a range of application areas.

You’ll improve your practical software engineering skills and learn new theories of software development. This course gives you the necessary qualifications to get a skilled position in the computing industry.

Our courses have some of the highest student satisfaction rates in the UK and our graduates are highly sought after.

See the website https://www.strath.ac.uk/courses/postgraduatetaught/advancedsoftwareengineering/

You’ll study

Diploma and MSc students will study the following classes:
- Software Architecture and Design
- Advanced Topics in Software Engineering
- Designing Usable Systems
- Distributed Information Systems
- Mobile Software and Applications
- Personal Study
- Research Methods

You can also take a tailored programme of options from our other Masters classes. This allows you to graduate with a degree in Advanced Computer Science. Those who progress to the Masters will undertake an individual project.

Individual project/dissertation (MSc students only)

You’ll take on an individual research project on an approved topic related to your selected pathway. You’ll pursue a specific interest in further depth, giving scope for original thought, research and technical presentation of complex ideas.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at the University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.
To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form. To ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Learning & teaching

The course is taught through lectures, tutorials and practical laboratories.

Careers

There'll be opportunities for you to meet industry employers and take part in recruitment events.

As a graduate of advanced software engineering you could be an analyst, architect or developer. There's a demand for advanced practitioners and researchers in the growing area of embedded systems development.

How much will I earn?

- Systems analyst - typical salaries for junior analysts are around £25,000. More experienced analysts earn £40,000 a year, on average.*
- Applications developer - graduate salaries start at around £20,000. This can vary depending on the size of the employer and the sector which you are working in. The typical salary range for a senior applications developer is approximately £45,000 to £50,000.*

*Information is intended only as a guide.

Find information on Scholarships here http://www.strath.ac.uk/search/scholarships/

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Enterprise information systems provide technology to help organisations co-ordinate their business processes and achieve their strategic goals. Read more

Why this course?

Enterprise information systems provide technology to help organisations co-ordinate their business processes and achieve their strategic goals. They are complex systems. Their design requires high-level technical skills and an understanding of business management.

This course will help you meet the challenges in designing enterprise information systems. You’ll gain new skills in:
- understanding business processes
- large-scale data management
- human factors important in constructing enterprise information systems

See the website https://www.strath.ac.uk/courses/postgraduatetaught/enterpriseinformationsystems/

You’ll study

Diploma and MSc students study the following classes:
- Business Analytics
- Distributed Information Systems
- Information Retrieval & Access
- Information Systems Architecture
- Computer Security
- Personal Study
- Research Methods

You can also take a tailored programme of options from our other Masters classes and graduate with a degree in Advanced Computer Science.

- Dissertation
MSc students undertake an individual research project on an approved topic.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at the University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.
To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form , or to ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Learning & teaching

Teaching methods include lectures, tutorials and practical laboratories. Dissertation is by supervision.
You’ll also have the opportunity to meet industry employers and participate in recruitment events.

Careers

Graduates of enterprise information systems are variously employed as analysts, architects, and developers. There’s a demand for advanced practitioners and researchers in the growing area of embedded systems development.

How much will I earn?

On average, more experienced systems analysts earn £40,000 a year.*

*information is intended only as a guide.

Find information on Scholarships here http://www.strath.ac.uk/search/scholarships/index.jsp

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Our MSc in data analytics is designed to create rounded data analytics problem-solvers. Read more
Our MSc in data analytics is designed to create rounded data analytics problem-solvers.

This course focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates.

You'll gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.

Strathclyde's MSc in data analytics is unique by bringing together essential skills from three departments, Management Science, Mathematics & Statistics, and Computer & Information Sciences (CIS), in order to address the needs of a fast-growing industry.

This collaboration avoids the narrow interpretation of this subject offered by competitor institutions and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.

What you’ll study

The course will have a duration of 1 year, with two semesters of classes (120 credits in total) followed by an MSc dissertation project (60 credits) during the summer.

The class Data Analytics in Practice (20 credits) will be run over both semesters to provide you with a practical environment to apply methodological learnings from other classes into challenging projects from industry.

Semester 1

Semester 1 will additionally consist of five 10-credit core modules as listed under 'Course Content' which will provide the technical background to students. The contributions in Semester 1 will be split evenly between three departments.

This semester is designed to provide you with the fundamental technical analytics knowledge from all three departments.
-Computer & Information Sciences courses will cover core techniques including machine learning and data mining as well as data visualisation and big data platforms
-Mathematics courses will ensure you gain strong computational skills while establishing a broad knowledge of statistical tools essential for analytics
-Management Science courses will build the foundations of business skills including problem structuring as well as decision analysis, in addition to providing essential practical skills

Semester 2

Semester 2 will additionally consist of a 10-credit core module as well as 40 credits worth of elective modules. To ensure breadth of knowledge, you'll be required to choose electives from at least two departments. This semester is designed to extend your core skills and provide you with opportunities through a broad range of electives to specialise in areas that you are particularly interested to excel.

The only technical core class will provide you with a thorough theoretical and practical understanding of optimisation techniques essential for data analytics, whereas each of the three departments will offer four to five elective courses, the majority of which are accessible to everyone on the course without any prerequisites. The final component of the MSc course will be a summer dissertation project, which can be completed either through a client-based project or a desk-based research project, depending on your interests. You will submit your dissertation in September to complete your degree requirements (pending any resits).

Work placement

You will have optional opportunities to complete your MSc summer dissertation projects in client-based projects, where a number of host organisations will be arranged by the department. These projects will be normally unpaid, however, all costs such as travel and accommodation will be covered by the host organisation if out of town.

Major projects

The taught modules on the programme introduce you to a variety of tools, techniques, methods and models. However, the practical reality of applying analytical methods in business is often far removed from the classroom. Working with decision-makers on real issues presents a variety of challenges.

For example, data may well be ambiguous and hard to come by, it may be far from obvious which data analytics methods can be applied and managers will need to be convinced of the business merits of any suggested solutions. While traditional teaching can alert students to such issues, understanding needs to be reinforced by experience.

This is primarily addressed by the core module ‘Data Analytics in Practice’, which takes place over both semesters. Every year, case studies and challenging projects are presented to our students by various organisations.

Facilities

Strathclyde Business School (SBS) is one of the 76 triple-accredited business schools in the world, and is one of the largest of its kind in Europe. SBS was also recently selected as the "Business School of the Year" in Times Higher Education (THE) Awards."

The three departments involved in this course work together to provide a dynamic, fully-rounded and varied programme of specialist and cross-disciplinary postgraduate course.

Guest lectures

Every year, guest speakers attend our course, sharing their invaluable experiences. As part of the Data Analytics in Practice module, we host several presentations from external bodies.

Course content

Compulsory classes
-Big Data Fundamentals
-Big Data Tools & Techniques
-Data Analytics in R
-Business & Decision Modelling
-Optimisation for Analytics
-Data Analytics in Practice
-Dissertation in Data Analytics

Optional classes
Students are required to choose 40 credits worth of elective classes, and at least from two departments. All optional classes take place in Semester 2.

Learning & teaching

The course is delivered in various ways. While most classes have regular lectures, tutorials and hands-on software sessions, experiential learning is a crucial part of the course. This is delivered through projects and case studies with various external organisations, and MSc projects.

There are also guest lectures and recruitment events throughout the year, as well as a number of career support sessions that provide you with invaluable career information and generic job hunting skills such as CV writing and how to handle interviews.

Assessment

Every module has its own methods of assessment appropriate to the nature of the material. These include written assignments, exams, practical team projects, presentations and individual projects. Many modules involve more than one method of assessment to realise your potential.

Careers

The aim of the MSc in data analytics is to develop graduates who can use data analytics technology, understand the statistical principles behind the technologies and understand how to apply these technologies to solve business problems.

Graduates will be able to bridge the various knowledge domains that are relevant for tackling data analytics problems as well as being able to identify emerging themes and directions within data analytics. Graduates will display abilities across the three component disciplines.

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Software systems are increasingly used on mobile platforms, offering constrained modes of interaction and placing further constraints on the functionality and performance of applications. Read more

Why this course?

Software systems are increasingly used on mobile platforms, offering constrained modes of interaction and placing further constraints on the functionality and performance of applications.
This course will help you to meet the challenges in designing software systems for mobile platforms. You’ll gain new skills in constructing mobile applications, including security and usability considerations.
You’ll also have the opportunity to meet industry employers and take part in recruitment events.
We'll provide you with the necessary qualifications for a skilled position in the computing industry.
Our courses have some of the highest student satisfaction rates in the UK and our graduates are highly sought after.

See the website https://www.strath.ac.uk/courses/postgraduatetaught/mobilecomputing/

You’ll study

Diploma and MSc students follow the same taught courses for the first two semesters. MSc students also undertake an individual research dissertation on an approved topic.

- Individual Project/Dissertation (MSc students only)
You’ll undertake an individual research project on an approved topic related to your selected pathway. This allows you to pursue a specific interest in depth, giving scope for original thought, research and technical presentation of complex ideas

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.

To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form. To ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Learning & teaching

The course is taught through lectures, tutorials and practical laboratories. Dissertation is by supervision

Careers

There'll be opportunities for you to meet industry employers and take part in recruitment events throughout the course.
As a graduate of mobile computing you could be employed as an analyst, architect or developer.
There’s currently a demand for advanced practitioners and researchers in the growing area of embedded systems development.

How much will I earn?

- systems analyst - typical salaries for junior analysts are around £25,000. More experienced analysts earn £40,000 a year, on average*
- applications developer - graduate salaries start around £20,000. This can vary depending on the size of the employer and the sector which you are working in. The typical salary range for a senior applications developer is approximately £45,000 to £50,000.*

*information is intended only as a guide.

Find information on Scholarships here http://www.strath.ac.uk/search/scholarships/index.jsp

Read less
This Masters programme provides state-of-the-art training in the latest advances in Digital Health Systems development and management. Read more
This Masters programme provides state-of-the-art training in the latest advances in Digital Health Systems development and management. It's aimed at those who aim to become leaders in the field of Health IT, either for Health systems service delivery or for the Health & Wellness IT industry.

Graduates will gain essential skills and expertise in designing applications that are accessible and usable, and that comply with complex data governance within healthcare. You'll gain experience in managing, analysing and making use of data collected from personal devices (such as apps and wearables) and large scale health systems (such as electronic records). You'll also gain key software development and management skills that are critical for deploying health systems.

This course looking at the whole systems implementation of digital health systems is one of its kind in the UK.

This new and unique course is the first of its kind to offer technical graduates the opportunity to develop the core skills required to develop advanced health and wellness systems and technologies for improving the way we personally manage our lifestyles and how our care systems deliver better health to citizens.

You'll study

The course includes 120 credits of taught material - taken over the first two semesters - and a 60-credit digital health project that runs, typically, from May to September.

In addition to learning about the design, development and evaluation process for personal health and wellness devices and systems and larger scale hospital and community based IT systems, students will also be trained to understand and use techniques for using the data that these systems produce to support decision making and planning and delivery of better care.

Work placement

Student projects will be conducted in close collaboration with the Digital Health Research group partners.

Furthermore, the Digital Health Research group has close links with Scotland’s innovation centres (Digital Health & Care Institute, Data Lab), the Strathclyde Institute of Pharmacy & Biomedical Sciences, The City Observatory, and the Centre for Health Policy. These links provide a range of opportunities for practical partnerships with the leading organisations and industries in the field.

Major projects

Working closely with the Digital Health research group means students will be alongside a group that has conducted major collaborative research and development projects and evaluations within the UK and internationally. The group were lead investigators in the evaluation of a £37 million Innovate UK programme to deploy assistive digital health and wellness technologies at scale across the UK.

The group is also involved in organising key national and international conferences such as the British Computer Society (BCS) Health Informatics conference and the ACM conference on Human Factors in Computing Systems.

Example projects include: Design of mobile apps for Managing Diabetes; Cost Benefit Analysis of Technology Enabled Care; Evaluating the Barriers to Implementing Electronic Personal Health Records at Scale.

Student competitions

Each year one student will be awarded the 'Innovative Digital Health and Care' award for the best overall student project (judged by representatives from academia, health and social care and industry).

Guest lectures

The taught modules will include guest-lectures from experts and practitioners in the field of Health IT, both from industry, this sector and the National Health Service.

Course content

Classes
-Design of Usable Health Systems
-Digital Health Implementation
-Decision Support & Health Analytics
-Research Methods & Legal, Ethical and Professional Issues for the Information Society
-Information Systems Architecture
-Database & Web Systems Development
-Individual Project

Learning & teaching

Teaching combines face-to-face lectures, labs and tutorials as well as personal/group study time.

Assessment

Taught modules are assessed using a combination of individual projects, group projects and final exams. The project is assessed on the quality of the project report (ie Master thesis). An overall minimum of 50% across all assessed classes and report is required in order to be awarded the Master in Digital Health Systems.

Careers

Graduates from the programme will enjoy a broad range of career opportunities. The NHS remains one of the largest employers in the world and IT professionals is one of the fastest growing profession within the organisation.

Equally, private and public health and care services world-wide are also expanding their digital health capacities and workforce and hardware and software companies (sensors, wearables, mobile computing) are all seeking expertise in the health and wellness sector. Future career options will include:
-Application & system developer
-Health Systems & Service Designers
-Data Analyst
-IT manager
-Knowledge management specialist
-Knowledge & information manager
-Information governance manager
-Clinical information manager
-Computer support analyst/engineer
-Clinical coder/Clinical coding trainer
-Planning & performance manager
-Systems & process Auditor

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