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Students
Tuition Fee
Per year
Start Date
2025-09-01
Medium of studying
On campus
Duration
3 years
Program Facts
Program Details
Degree
Masters
Major
Computer Science | Information Systems | Software Engineering
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2025-09-01-
2026-01-01-
2026-05-01-
2026-09-01-
About Program

Program Overview


Informatics Postgraduate Research

Overview

The Informatics Research Centre at the University of Salford builds on the history, success and achievements of the research in Computer Science and Information Systems developed over the past thirty years. Evolving around data and information in all their types and usages, the Centre covers all phases and processes from data pre-processing to engineering and visualisation.


Research Areas

  • Actionable Knowledge Discovery and Semantic Web
  • Software engineering and applications
  • Big data, data mining and analytics
  • Image and document processing and analysis
  • Cyber security and forensics
  • Information visualisation and virtual environments

Course Details

Informatics postgraduate research is available in a range of pathways:


  • Master by Research (MSc)
    • One year full-time
    • Two years part-time
  • Master of Philosophy (MPhil)
    • One year full-time
    • Two years part-time
  • Doctor of Philosophy (PhD)
    • Three years full-time
    • Five years part-time

Requirements

ENTRY REQUIREMENTS

  • A minimum of a 2:1 Honours degree or equivalent in a numerate subject such as Engineering, Science, Mathematics or Computer Science.
  • You should be able to demonstrate the use of structured programming languages.

APPLICANT PROFILE

  • You should have a first degree that provides a foundation in the areas of computer science or engineering.
  • Candidates with a Bachelors and a Masters degree in one of the following areas will be preferred: robotics, mechatronics, automation and control, embedded systems, artificial intelligence, and machine learning.
  • Experience of experimental research involving statistical analyses of experimental results on the basis of measuring system performance is preferable but is not essential.

INTERNATIONAL STUDENTS - ACADEMIC TECHNOLOGY APPROVAL SCHEME (ATAS)

  • International Students are required by the Home Office and/or the Foreign & Commonwealth Office (FCO) to apply for an Academic Technology Approval Scheme (ATAS) Certificate before they begin studying their course.

Tuition Fees

  • As a postgraduate research student, you will need to pay annual tuition fees.
  • These vary according to the programme you are studying.
  • Both we and other organisations offer a range of scholarships and discounts to postgraduate research students.

Additional Costs

  • You should consider further costs which may include books, stationery, printing, binding and general subsistence on residential travel and accommodation visits.

Program Outline

It encompasses all stages of data processing, from pre-processing to analysis, engineering, and visualization.


Objectives:

  • Develop novel methods and systems for data analysis and recognition.
  • Learn and understand the behavior and causal models of data.

Program Description:

  • Research opportunities across a wide range of fields in data and computer science.
  • Specialized research areas include data engineering, cyber security, visualization, and digitization.
  • Conduct research around an area relevant to your profession and develop solutions for workplace implementation.
  • Earn a doctorate-level degree to advance your current career or transition into a research-focused role.

Outline


Program Length:

  • Master by Research (MSc): 1 year full-time, 2 years part-time
  • Master of Philosophy (MPhil): 1 year full-time, 2 years part-time
  • Doctor of Philosophy (PhD): 3 years full-time, 5 years part-time

Program Structure:

  • Individual research project under the supervision of an academic staff member.
  • Access to a wide range of supervisory expertise, training, and excellent facilities.
  • Research training tailored to your specific needs and discussed with your supervisory team.
  • Opportunities to attend conferences and workshops.

Course Schedule:

  • Individualized schedule based on research project and supervisor guidance.
  • Attendance at research seminars and workshops.

Assessment


Assessment Methods:

  • Thesis based on research project.
  • Oral examination.
  • Written reports and presentations.
  • Progress monitoring through regular meetings with supervisors.

Assessment Criteria:

  • Originality and contribution to knowledge.
  • Research methodology and execution.
  • Analysis and interpretation of results.
  • Communication and presentation of findings.

Teaching


Teaching Methods:

  • Individual supervision by academic staff member.
  • Research seminars and workshops.
  • Research group meetings.
  • Independent research and study.

Faculty:

  • Experienced and active researchers in various fields of data and computer science.
  • Expertise in data analysis, recognition, engineering, and visualization.

Unique Approaches:

  • Personalized research project tailored to individual interests and career goals.
  • Access to state-of-the-art research facilities and equipment.
  • Opportunity to collaborate with industry partners on real-world projects.

Careers


Potential Career Paths:

  • Research Scientist
  • Data Analyst
  • Data Engineer
  • Software Engineer
  • Security Analyst
  • Visualization Specialist

Career Opportunities:

  • Academia
  • Research and development organizations
  • Government agencies
  • Private sector companies
  • Start-ups

Career Outcomes:

  • Develop advanced research skills and knowledge.
  • Gain experience in conducting independent research.
  • Enhance problem-solving and analytical abilities.
  • Build a strong network of contacts in the research community.
  • Prepare for a successful career in research or related fields.

Other

  • International students are welcome.
  • Research opportunities are available in various areas, including big data, cyber security, and information visualization.
  • The program offers a supportive and stimulating research environment.
  • Graduates can pursue further academic studies or enter the workforce.
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