Computer Science (MSc) Study Liverpool Hope University,Study,Postgraduate Taught,Postgraduate Courses

Computer Science (MSc)/Computer Science (Mobile Computing) MSc

Duration: 12/15 months (full-time); 24 months (part-time)

Overview

* This course qualifies for the New £10,000 Postgraduate Loan Scheme (PGL)

Hear from Atulya Nagar, Head of Mathematics and Computer Science talk about his department at Liverpool Hope in this video developed by Postgraduate Search TV.


Liverpool Hope University’s MSc Computer Science is a research-orientated, academically rigorous programme and is designed to provide a flexible, purposeful and challenging set of coherent modules to meet scientific, industrial and employment challenges in this fast-evolving technological area.  Graduates will have developed scientific and analytical skills which are highly valued in the computing, engineering, IT and business industries. 

The programme offers a mix of compulsory and elective modules, and a research dissertation, so you can focus your skill base and your potential career direction.  Depending on the choice of modules and dissertation research, MSc Computer Science students can graduate with either MSc Computer Science or MSc Computer Science (Mobile Computing)

For further information, you can download the Computer Science MSc Leaflet

This degree is available as a full time course for all international students. For more information about International students studying at Liverpool Hope, visit www.hope.ac.uk/international 

 

 

Curriculum

The MSc Computer Science combines academic and practical course, consisting of eight taught courses (four compulsory and four elective) and a dissertation (final research project).

The Compulsory courses are:

· Computational Modelling and Simulation

· Algorithms

· Innovations in Computer Science

· Research Methods for Computer Science

· Dissertation for MSc Computer Science

Elective courses include:

· Embedded Systems and Robotics

· Cloud Computing and Web Services

· Mobile and Ubiquitous Computing

· Human Computer Interaction

· E-Business

Course Descriptions

· Computational Modelling and Simulation (compulsory – 15 credits): This course develops understanding and knowledge of the principles, techniques and design of computational modelling and their applications.

· Algorithms (compulsory - 15 credits): This course gives a firm grounding in the philosophy and evolution of algorithmic design and analysis for computer science, engineering and information systems.

· Innovations in Computer Science (compulsory - 15 credits): You will examine the particular research interests of Computer Science Department.

· Research Methods for Computer Science (compulsory - 15 credits): The course will expose you to the established techniques of research and enquiry that are used to extend, create and interpret knowledge in computer science

· Embedded Systems and Robotics (elective - 15 credits): This course will examine the Robotics Operating System and robotic programming languages, such as Urbi.

· Cloud Computing and Web Services (elective - 15 credits): You will study the concepts behind the idea of cloud computing and web services and gain practical knowledge of Azure, the .Net framework and C#.

· Mobile and Ubiquitous Computing (elective - 15 credits): You will examine mobile phone OSs (Android) and Windows Phone 7. You will learn how to develop software for these devices using JavaFX and C#/Silverlight.

· Human Computer Interaction (elective - 15 credits): Human computer interaction (HCI) is the study of interaction between people and computers and is the most multi-disciplinary module available in the MSc Computer Science.

· E-Business (elective - 15 credits): E-business encompasses, and is more than, e-commerce. You will examine e-commerce technology, such as the internet and web-based technologies.

· Dissertation for MSc Computer Science (compulsory - 60 credits): This module will allow the students to develop a Masters level research project with the support of an academic supervisor.

Entry Requirements

Normally a First Class or Upper Second Class Honours Degree in Computer Science, Computing, Science, or engineering-based discipline.

Applications from students who do not hold a 1st or 2:1 Honours Degree (or equivalent) will be asked to demonstrate potential to achieve a Masters award via a sample of academic writing and interview before an offer is made.

For students whose first language is not English there is a language requirement of IELTS 6.5 overall (reading 6, writing 6), TOEFL ibt 87, or other equivalent recognised English language qualification. For additional information including entry requirements from your country, fees and scholarships go to the International section of the website.

Hear from Atulya Nagar, Head of Mathematics and Computer Science talking about the Application process and career opportunities in this video developed by Postgraduate Search TV.

Teaching & Research

The Department of Computer Science brings together multi-disciplinary research interests and substantial experience and expertise in the field of Computer Science and Informatics. Its aim is to facilitate research into Intelligent and Distributed Systems, Computer Simulation and Modelling, Data Engineering, Operations Research, Bioinformatics, Software Engineering, Human Computer Interactions (HCI), and Computer Supported Collaborative Work (CSCW).

In the most recent Research Assessment Exercise (RAE 2008), 60% of the research submitted by the Department was judged to be of ‘international recognition and excellence’. The Department’s commitment to research includes an ongoing research seminar and conference programme with speakers from around the globe; a state-of-the-art research facility, the Intelligent and Distributed Systems (IDS) laboratory; and opportunities for PhD bursaries for outstanding postgraduate students with demonstrated research potential.

Employability

Graduates will have developed scientific and analytical skills which are highly valued in the computing, engineering, IT and business industries. These skills are also transferable to a range of other careers, including research and development in the software and other IT industries, science and engineering consultancy and management roles. In addition, the course provides an excellent foundation for further postgraduate research study through PhD studies.

Overview

* This course qualifies for the New £10,000 Postgraduate Loan Scheme (PGL)

Hear from Atulya Nagar, Head of Mathematics and Computer Science talk about his department at Liverpool Hope in this video developed by Postgraduate Search TV.


Liverpool Hope University’s MSc Computer Science is a research-orientated, academically rigorous programme and is designed to provide a flexible, purposeful and challenging set of coherent modules to meet scientific, industrial and employment challenges in this fast-evolving technological area.  Graduates will have developed scientific and analytical skills which are highly valued in the computing, engineering, IT and business industries. 

The programme offers a mix of compulsory and elective modules, and a research dissertation, so you can focus your skill base and your potential career direction.  Depending on the choice of modules and dissertation research, MSc Computer Science students can graduate with either MSc Computer Science or MSc Computer Science (Mobile Computing)

For further information, you can download the Computer Science MSc Leaflet

This degree is available as a full time course for all international students. For more information about International students studying at Liverpool Hope, visit www.hope.ac.uk/international 

 

 

Curriculum

The MSc Computer Science combines academic and practical course, consisting of eight taught courses (four compulsory and four elective) and a dissertation (final research project).

The Compulsory courses are:

· Computational Modelling and Simulation

· Algorithms

· Innovations in Computer Science

· Research Methods for Computer Science

· Dissertation for MSc Computer Science

Elective courses include:

· Embedded Systems and Robotics

· Cloud Computing and Web Services

· Mobile and Ubiquitous Computing

· Human Computer Interaction

· E-Business

Course Descriptions

· Computational Modelling and Simulation (compulsory – 15 credits): This course develops understanding and knowledge of the principles, techniques and design of computational modelling and their applications.

· Algorithms (compulsory - 15 credits): This course gives a firm grounding in the philosophy and evolution of algorithmic design and analysis for computer science, engineering and information systems.

· Innovations in Computer Science (compulsory - 15 credits): You will examine the particular research interests of Computer Science Department.

· Research Methods for Computer Science (compulsory - 15 credits): The course will expose you to the established techniques of research and enquiry that are used to extend, create and interpret knowledge in computer science

· Embedded Systems and Robotics (elective - 15 credits): This course will examine the Robotics Operating System and robotic programming languages, such as Urbi.

· Cloud Computing and Web Services (elective - 15 credits): You will study the concepts behind the idea of cloud computing and web services and gain practical knowledge of Azure, the .Net framework and C#.

· Mobile and Ubiquitous Computing (elective - 15 credits): You will examine mobile phone OSs (Android) and Windows Phone 7. You will learn how to develop software for these devices using JavaFX and C#/Silverlight.

· Human Computer Interaction (elective - 15 credits): Human computer interaction (HCI) is the study of interaction between people and computers and is the most multi-disciplinary module available in the MSc Computer Science.

· E-Business (elective - 15 credits): E-business encompasses, and is more than, e-commerce. You will examine e-commerce technology, such as the internet and web-based technologies.

· Dissertation for MSc Computer Science (compulsory - 60 credits): This module will allow the students to develop a Masters level research project with the support of an academic supervisor.

Entry Requirements

Normally a First Class or Upper Second Class Honours Degree in Computer Science, Computing, Science, or engineering-based discipline.

Applications from students who do not hold a 1st or 2:1 Honours Degree (or equivalent) will be asked to demonstrate potential to achieve a Masters award via a sample of academic writing and interview before an offer is made.

For students whose first language is not English there is a language requirement of IELTS 6.5 overall (reading 6, writing 6), TOEFL ibt 87, or other equivalent recognised English language qualification. For additional information including entry requirements from your country, fees and scholarships go to the International section of the website.

Hear from Atulya Nagar, Head of Mathematics and Computer Science talking about the Application process and career opportunities in this video developed by Postgraduate Search TV.

Teaching & Research

The Department of Computer Science brings together multi-disciplinary research interests and substantial experience and expertise in the field of Computer Science and Informatics. Its aim is to facilitate research into Intelligent and Distributed Systems, Computer Simulation and Modelling, Data Engineering, Operations Research, Bioinformatics, Software Engineering, Human Computer Interactions (HCI), and Computer Supported Collaborative Work (CSCW).

In the most recent Research Assessment Exercise (RAE 2008), 60% of the research submitted by the Department was judged to be of ‘international recognition and excellence’. The Department’s commitment to research includes an ongoing research seminar and conference programme with speakers from around the globe; a state-of-the-art research facility, the Intelligent and Distributed Systems (IDS) laboratory; and opportunities for PhD bursaries for outstanding postgraduate students with demonstrated research potential.

Employability

Graduates will have developed scientific and analytical skills which are highly valued in the computing, engineering, IT and business industries. These skills are also transferable to a range of other careers, including research and development in the software and other IT industries, science and engineering consultancy and management roles. In addition, the course provides an excellent foundation for further postgraduate research study through PhD studies.

Course Contact Details

Student Recruitment

t: +44 (0) 151 291 3111

e: enquiry@hope.ac.uk

Prof Hissam Tawfik

Award Co-ordinator

t: 0151 291 3168

e: tawfikh@hope.ac.uk

Department: Mathematics and Computer Science

Start date: September

How to Apply