หลักสูตรวิทยาศาสตรมหาบัณฑิต สาขาวิชาวิทยาการคอมพิวเตอร์ (MU-UCL)

MU-UCL Double Degree Master Program in Computer Science

This 2-year special Dual Master’s degree program is jointly developed by two renowned universities: Mahidol University, Thailand (MU) and University College London, United Kingdom (UCL) in order to produce graduates who have a strong foundation of Computer Scienceas well as advanced knowledge of a specific area of Computer Science. A student of this program will study at MU in Bangkok, Thailand for one year, and at UCL in London, United Kingdom for another year. Upon completing the graduation requirements of the program, the student will receive two Master degrees: Master of Science in Computer Science from MU and one of the specialist Master Degrees from UCL.

The intensive program and provides core foundation of Computer Science in the areas of Database, Computer Networks, Artificial Intelligence, and Software Engineering and extends the knowledge into advanced areas of Computational Statistics and Machine Learning, Computer Graphics, Vision and Imaging, Financial Risk Management, Financial System Engineering, Software System Engineering, Human Computer Interface with Ergonomics, Information Security, Machine Learning, and Networked Computer System.

If your passion is to have an advanced Computer Science knowledge, look no further. This world-class program will help you succeed.

COURSES

Students in the MU-UCL Dual Degree Master Program in Computer Science will take one year of study in Mahidol University (MU), Bangkok, Thailand and one year of study in University College London (UCL), London, England. MU students will study in Mahidol University in the first year and in University College London in the second year. UCL students will study in University College London in the first year and in Mahidol University in the second year.

MU students in the program must apply for one of UCL’s Specialist Master Program during the first semester of the program.

Academic Year

Mahidol University:

Semester 1: August – December
Semester 2: January – May

University College London:

Term 1: September – December
Term 2: January – March
Term 3: April – June

PROGRAM STRUCTURE

Notes:

  1. Core foundation of Computer Science, offered at Mahidol University, consists of Database, Computer Networks, Artificial Intelligence, and Software Engineering
  2. Specialized program in Computer Science, offered by the Department of Computer Science, Faculty of Engineering Sciences, University College London, consists of (but not limited to) Computational Statistics and Machine Learning, Computer Graphics, Vision and Imaging, Financial Risk Management, Financial System Engineering, Software System Engineering, Human Computer Interface with Ergonomics, Information Security, Machine Learning, and Networked Computer System. The courses are subject to change without prior notice. Please check the UCL CS website for up-to-date information.
  3. We recommend the students to start year 1 at Mahidol University and year 2 at University College London. Starting year 1 at University College London and year 2 at Mahidol University is possible but not recommended for Mahidol University students.

The structure of the entire dual degree program consists of two level of study: foundation computer science program (at Mahidol University) and specialist computer science program (at University College London). Students will take foundation courses at Mahidol University in the first year in the Master of Science in Computer Science Program offered by the Faculty of Information and Communication Technology (ICT) and take one of the specialist programs offered by the Faculty of Engineering Sciences, University College London.

GRADUATION DEGREES

Upon completing the graduation requirements of both programs at MU and UCL, students will receive 2 degrees:

Graduation Requirements

For M.Sc. in Computer Science at Mahidol University

  1. Complete degree requirements within 5 years.
  2. Complete at least 25 credits of courses (16 core credits and 9 elective credits) including 12-credit thesis within 5 years with GPA at least 3.0.
  3. Pass the English requirements of the Faculty of Graduate Studies, Mahidol University.
  4. Successfully propose and defend thesis.
  5. Publish a part of thesis findings in international conference or journal (see details at the website of the Faculty of Graduate Studies).
  6. Complete the soft skills training requirements of the Faculty of Graduate Studies.

For Specialist Master’s Program at University College London

  1. Complete degree requirement within 1 year.
  2. Complete required study modules of the chosen Specialist Master’s degree program of UCL.
  3. Pass thesis/project requirements of the Specialist Master’s degree program
  4. Successfully pass the program examination (one time a year for all courses)

FOUNDATION COURSES AT MAHIDOL UNIVERSITY (YEAR 1)

In the first year, MU students will take the following courses: (see the M.Sc. in Computer Science program for more and up-to-date information)

Semester 1 Semester 2
ITCS 621 Database Design and Administration (3) ITCS 508 Research Methodology in Computer Science (1)
ITCS 631 Computer Communications and Networks (3) ITCS 601 Seminar in Computer Science I (1)
ITCS 643 Software Engineering (3) ITCS 589 Professional Practices in IT Project Management (1)
ITCS 661 Advanced Artificial Intelligence (3) Elective (3)
Elective (3)
Elective (3)

Elective courses are grouped into the following major tracks for discipline purpose. Students do not have to take courses from the same track.

  • Software Engineering
  • Data and Knowledge Management
  • Intelligent Systems
  • Multimedia Systems
  • General Computer Science (Networks, Security, Embedded Systems, etc)

List of available elective courses is available at the website of the Master of Science in Computer Science, Faculty of ICT, Mahidol University

SPECIALIST COURSES AT UNIVERSITY COLLEGE LONDON (YEAR 2)

Students enrolled in this program can choose to study in one of the following Specialist Master Degree programs offered by the Department of Computer Science at University College London.

Machine Learning Computational Statistics and Machine Learning
Core modules

· Supervised Learning
– Programming & Mathematical Methods for Machine Learning
· Graphical Models or Probabilistic and Unsupervised Learning

5 Electives from

· Machine Vision
· Bioinformatics
– Applied Machine Learning
· Information Retrieval and Data Mining
– Advanced Topics in Machine Learning
· Inverse Problems in Imaging
· Applied Machine Learning
· Affective Computing and Human-Robot Interaction
· Approximate Inference and Learning in Probabilistic Models
· Evolutionary and Natural Computation

Core modules

· Supervised Learning
– Graphical Models or Probabilistic and Unsupervised Learning
· Statistical Modelling and Data Analysis

One elective from

· Applied Bayesian Methods
· Statistical Design of Investigations
· Statistical Computing
· Statistical Inference

4 Electives from

· Evolutionary and Natural Computation
· Programming & Mathematical Methods for Machine Learning
· Applied Machine Learning
· Bioinformatics
· Advanced Topics in Machine Learning
· Machine Vision
· Information Retrieval and Data Mining
· Approximate Inference and Learning in Probabilistic Models
· Inverse Problems in Imaging
· Applied Bayesian Methods
· Statistical Design of Investigations
· Statistical Computing
· Statistical Inference
· Forecasting
· Stochastic Methods in Finance
· Advanced Topics in Statistics
· Stochastic Methods in Finance 2

Computer Graphics, Vision, and Imaging Financial Risk Management
Core modules

– Mathematical Methods, Algorithms and Implementations
– Computer Graphics
– Image Processing
– Research Methods and Reading

4 Electives from

– Graphical Models
– Virtual Environments
– Inverse Problems in Imaging
– Geometry of Images
– Advanced Modelling, Rendering and Animation
– Computational Photography and Capture
– Computational Modelling for Biomedical Imaging

Core modules

– Supervised Learning
– Graphical Models or Probabilistic and Unsupervised Learning
– Statistical Modelling and Data Analysis

4 Electives from

– Advanced Stochastic Analysis and Models
– Applied Computational Finance in C++/Mathematica
– Complex Networks and Web
– Equities, Foreign Exchange and Commodities Modelling
– Financial Information Systems
– Financial Institutions and Markets
– Information Retrieval & Data Mining
– Interest Rates and Credit Modelling
– Introductory Programming
– Numerical Analysis for Finance
– Programming & Mathematical Methods for Machine Learning
– Quantitative and Computational Finance
– Statistical Inference
– Supervised Learning

Financial Systems Engineering Software Systems Engineering
Core modules

– System Requirements Engineering
– Advanced Analysis and Design
– Validation and Verification
– Tools & Environments
– Financial Institutions and Markets
– Professional Practice
– Financial Information Systems

1 Electives from

– Compliance, Risk and Regulation
– Language Based Security
– People and Security
– Networked Systems
– Distributed Systems and Security
– Mobile and Cloud Computing
– Supervised Learning
– Evolutionary & Natural Computation
– Information Retrieval and Data Mining

Core modules

– System Requirements Engineering
– Advanced Analysis and Design
– Validation and Verification
– Tools & Environments
– Professional Practice

3 Electives from

– Language Based Security
– People and Security
– Networked Systems
– Distributed Systems and Security
– Mobile and Cloud Computing
– Supervised Learning
– Evolutionary & Natural Computation
– Information Retrieval and Data Mining

Networked Computer Systems Information Security
Core modules

– Networked Systems
– Distributed Systems and Security
– Network and Applications Programming
– Multimedia Systems
– Mobile and Cloud Computing
– Professional Practice
– Operating Systems
– Group Project for MSc NCS

1 Electives from

– Computer Security I
– Language Based Security
– Database Systems
– Web Economics
– Information Retrieval and Data Mining

Core modules

– Computer Security I
– Introduction to Cryptography
– Research in Information Security

5 Electives from

– Distributed Systems and Security
– People and Security
– Applied Cryptography
– Computer Security II
– Information Security Management
– Language Based Security

Human Computer Interaction with Ergonomics
Core modules

– Ergonomics for Design
– Design Experience 1
– Design Experience 2
– Applied Cognitive Science
– Design Practice
– User-Centered Evaluation Methods
– MSc HCI-E Project

2 Electives from

– Affective Interaction
– Sociotechnical Systems: IT and the Future of Work
– Interfaces and Interactivity

Notes: The information in this page may be changed without notice. Please refer to each specific program website for up-to-date information.

TUITION AND SCHOLARSHIP

Mahidol University students (Plan A only): students pay only the tuition fee of M.Sc. in Computer Science (Mahidol University)

  • International students: 500,000 THB (MU)
  • Thai students: 380,000 THB (MU)

University College London students: students pay the tuition fee of the Specialist Master’s Degree program of UCL and a portion of tuition fee of the M.Sc. in Computer Science program (MU)

  • International students: 20,000 £ (UCL) + 6,200 £ (MU – up to 280,000 THB)
  • UK students: 10,000 £ (UCL) + 6,200 £ (MU – up to 280,000 THB)

How to Apply

  1. Apply to be admitted to either M.Sc. in Computer Science program (MU) or one of the specialist Master’s Degree programs (UCL)
  2. During the first semester of the admitted program, apply to the program offered at the other university through the MU-UCL program coordinator of each instituion (e.g. a student in M.Sc. in Computer Science program (MU) must apply to one of the Specialist Master’s Degree programs of UCL)

Scholarship

  1. UCL Dean’s Scholarship: Faculty of Engineering Science, UCL provides 4 full-scholarship awards for Mahidol University students worth 20,000 £ (tuition fee) and 4 partial-scholarship awards for Mahidol University students worth 10,000 £ (tuition fee).
  2. Faculty of ICT provides scholarship for Mahidol University students to support research fee worth up to 1,000 £ and living expense in the UK worth up to 13,440 £ (1,120 £ per month for 12 months – living expense – based on the rate of the Office of the Civil Service Commission)
  3. Mahidol University provides scholarship to support Mahidol University students to conduct research in top partner institution as exchange students. The amount of scholarship is up to 70,000 THB.
  4. Faculty of ICT provides scholarship for UCL students to support tuition fee at MU for up to 180,000 baht.
  5. Mahidol University provides scholarship to support international students from UCL to take courses and conduct research at Mahidol University as visiting students. The amount of scholarship is up to 45,000 THB.

Scholarship conditions do apply. The scholarship scheme may change without notice. Please contact the program coordinator for more information.

APPLICATION

For prospective students:

Students who are eligible to apply to this MU-UCL Dual Master Degree program must already be admitted to the regular Master of Science in Computer Science program offered by the Faculty of ICT, Mahidol University or one of the Specialist Master Degree programs offered by the Faculty of Engineering Sciences, UCL. The first program that the students are admitted to is called the ‘home’ program which offers courses at ‘home’ university.

During the first semester of the ‘home’ program, the students must apply to the ‘host’ program (for MU students, the ‘host’ program is one of the Specialist Master Degree programs offered by the Faculty of Engineering Sciences, UCL and for UCL students, the ‘host’ program is the Master of Science in Computer Science program offered by the Faculty of ICT, Mahidol University. The students will be considered to be in the MU-UCL Dual Master Degree program once they are admitted by both MU and UCL programs.

Important Dates

Events Round I
Application Period Nov 15, 2018 – Jan 31, 2019
Written Examination Feb 16, 2019
Announcement of interview candidates Feb 27, 2019
Interview Mar 4-6, 2019
Announcement of admitted students Mar 13, 2019
Student Registration Mar 18-22, 2019
Classes begin (Academic Year 2019) Aug 13, 2019
Events Round II
Application Period Mar 1-17, 2019
Written Examination Jun 1, 2019
Announcement of interview candidates Jun 12, 2019
Interview Jun 17-19, 2019
Announcement of admitted students Jun 26, 2019
Student Registration Jul 1-5, 2019
Classes begin (Academic Year 2019) Aug 13, 2019

Why Studying at Mahidol University and University College London?

Mahidol University and University College London are both internationally known for their strength in research and education. Graduates from both universities contribute greatly to the society. The state of arts educational and research infrastructure propel both universities to the regarded as one of the top educational institutions in the Thailand and the United Kingdom. The educational environment and recreational facilities support students to fulfill and excel in academic ambition.

In this program, the students will be exposed to the exotic Asian and European culture. The opportunity of working with quality faculty members from both institutions will excel the students’ academic and research skills which will greatly help them in the global economy.

Application Process

Qualifications

  1. Have Bachelor’s degree in Computer Science, Computer Engineering, or related area with CGPA at least 3.3.
  2. Must be a student in either the M.Sc. in Computer Science program (Mahidol University) or one of the Specialist Master’s Degree programs (UCL) with good academic standing.
  3. Have IELTS score of at least 7
  4. Work experience is not required but nice to have.

How to Apply

  1. Apply to be admitted to either M.Sc. in Computer Science program (MU) or one of the specialist Master’s Degree programs (UCL)
  2. During the first semester of the admitted program, apply to the program offered at the other university through the MU-UCL program coordinator of each instituion (e.g. a student in M.Sc. in Computer Science program (MU) must apply to one of the Specialist Master’s Degree programs of UCL)

 

CONTACT US

Thailand:

Faculty of Information and Communication Technology
Mahidol University

Asst. Prof. Boonsit Yimwadsana
Deputy Dean for Graduate Studies and International Relation
Faculty of Information and Communication Technology
Mahidol University
999 Phuttamonthon 4 road
Salaya, Phuttamonthon
Nakhonpathom 73170
THAILAND
tel: 66-2-441-0909
email: boonsit.yim@mahidol.ac.th

Department of Computer Science, Faculty of Engineering Sciences
University College London

Prof. Robin Hirsch
Academic Co-ordinator for Master’s Programmes
Faculty of Engineering Sciences
University College London
Gower Street, London. WC1 E 6BT
UNITED KINGDOM
email: r.hirschatucl.ac.uk

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