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Master of Information Technology
Master's Accredited Code 8480201

Master of Information Technology

The Master of Information Technology programme at HUFLIT, programme code 8480201, carries 60 credits and is designed along two orientations: application and research. Its content emphasises current technology trends such as Artificial Intelligence (AI), Big Data, Blockchain and digital transformation, meeting the demands of professional development, research and applied technology in practice. The programme is managed and delivered by the Postgraduate & Science-Technology Office.

Master's Level
2 years Duration
Full-time Mode
8480201 Program code
1. Overview

Master of Information Technology

HUFLIT sets out to train Masters of Information Technology who hold sound professional ethics, a solid foundation of specialised knowledge, a research mindset and the capacity to apply advanced technology.

Graduates are able to analyse and solve in-depth problems, adapt to the rapid pace of technological change, and meet the increasingly demanding requirements of the information and communication technology sector in the context of digital transformation and Industry 4.0.

HUFLIT sets out to train Masters of Information Technology with a solid foundation of specialised knowledge, a research mindset and the capacity to apply advanced technology.

2. Why HUFLIT

6 reasons to choose HUFLIT

01

An up-to-date curriculum

Engaging with current technology fields such as AI, Big Data, Blockchain and digital transformation.

02

Two flexible study orientations

Choose the application or the research orientation to suit your career goals.

03

Stronger professional capability

Consolidating in-depth knowledge, research skills and the ability to solve real-world IT problems.

04

A highly qualified teaching team

Guidance from lecturers and experts experienced in training, research and applied technology.

05

Wider career opportunities

A foundation for advancing to expert, management, research or teaching roles in the IT field.

06

A supportive learning and research environment

Opportunities for academic connection, professional exchange and the development of research and applied technology projects. Classes are held on weekends only, convenient for students who are working while studying.

Choose HUFLIT — Fluent in languages, strong in technology, skilled in the profession
3. Curriculum

Pathway 2 years · 60 credits

The programme runs over 04 semesters across 02 years, keeping the training schedule on track and balancing foundational knowledge, specialised knowledge and research or practical work.

Sem. 1 – 2

Foundational and disciplinary knowledge

Focused on foundational and in-depth knowledge, including: Scientific Research Methodology; compulsory disciplinary courses such as Knowledge Discovery and Data Mining, Deep Learning and Applications, Advanced Computer Vision, together with 02 elective specialised courses.

Sem. 3 – 4

Specialisation and graduation

Completing the specialised courses with the remaining 02 elective specialised courses; carrying out the specialised internship project or seminar and the outline of the master project or thesis. In the final stage, students complete a Master Project for the application orientation or a Master Thesis for the research orientation.

Pathway

04 semesters across 02 years

The programme runs over 04 semesters across 02 years, keeping the training schedule on track and balancing foundational knowledge, specialised knowledge and research or practical work.

Extension

Extending the study period

Where necessary, students may extend their study period to no more than 04 years — that is, extensions in the third and fourth years — in line with the University regulations in force.

View the curriculum framework
4. Teaching methods

Experience & Interaction

Direct instruction

Direct instruction

Methods such as Explicit Teaching, Lecture and Guest Lecture, suited to systematising knowledge and clarifying advanced concepts and content.

Indirect instruction

Indirect instruction

Delivered through Inquiry, Problem Solving and Case Study with the learner at the centre, developing critical thinking and analytical capability.

Experiential and interactive learning

Experiential and interactive learning

Combining Experiment, Research Team work, Debate, discussion and Peer Learning so that learners strengthen their ability to apply knowledge in practice and develop teamwork skills.

Guided self-study

Guided self-study

Through Work Assignments and Course Reports, encouraging learners to research independently and build their own knowledge under the guidance, supervision and assessment of lecturers.

5. Course syllabi

Course syllabus details

Detailed syllabi for every course of the Master of Information Technology programme — objectives, course learning outcomes, assessment methods and references — are kept up to date on the Postgraduate Portal.

View course syllabi
Choose HUFLIT — Fluent in languages, strong in technology, skilled in the profession
6. Learning outcomes

Core competencies & Learning outcomes

PLO1

Hold solid and in-depth knowledge of information technology.

PLO2

Master and creatively apply modern information technology techniques in the Industry 4.0 era.

PLO3

Have the skills to build, advise on, organise and manage information technology projects within enterprises.

PLO4

Communicate specialised matters effectively in order to exchange information with partners.

PLO5

Demonstrate sound professional attitude and ethics.

PLO6

Show the awareness and capacity for continuous learning to raise IT knowledge and professional skills (PLO6a); have the capacity for scientific research and for taking part in research projects in the IT field (PLO6b).

7. Employment

Career opportunities in Information Technology

Management and senior technical roles in business

Management and senior technical roles in business

Building a career in enterprises in management and senior technical positions such as CTO, CIO, CEO, Senior Engineer, Project Manager, Team Leader and equivalent roles.

Research and development (R&D)

Research and development (R&D)

Taking part in research and development: conducting research, analysing, evaluating and critically reviewing new solutions, products and technologies.

Organising and managing IT projects

Organising and managing IT projects

Organising and managing information technology projects — from planning and project design through to delivery, operation and management in agencies, organisations and enterprises — as well as teaching IT at higher education institutions.

Academic advancement

Academic advancement

Continuing academic development, with the foundation to study, research and progress to a doctoral degree in Information Technology and related fields.

8. Admission methods

Multiple pathways

Admission method

Application review combined with an assessment of specialised capability. The assessment is based on: (1) academic capability (relevant disciplinary subjects and undergraduate graduation classification); (2) English proficiency against the entry standard; (3) academic ability (research projects, publications and awards related to the field applied for); (4) work experience after graduation; (5) priority categories, if any.

Eligible candidates

Applicants who have graduated (or are eligible to graduate) from a relevant undergraduate programme, meet the specialised and English entry standards in force, have a clear personal record and are in good health for study. Candidates from a related or different discipline must complete bridging courses before the application review (the University offers bridging classes).

Priority categories

Bonus points in the specialised knowledge test: war invalids and persons entitled to policies as war invalids, children of martyrs, Heroes of the Armed Forces and Heroes of Labour; children of resistance activists exposed to toxic chemicals; persons with 2 or more years of service, or ethnic-minority persons with 2 or more years of permanent residence, in Region 1.

Intake size

According to the quota approved and announced by the University for each year or intake, which may be adjusted to reflect registration demand and the conditions for assuring training quality.

Postgraduate admission announcements are published per intake. View admission announcements
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