PMSCOPRFTR8-2025-6-O - L-Università ta' Malta

Course Title

Master of Science in Operations Research

MQF Level

Duration and Credits

3 Semesters

90 ECTS

Mode of Study

Full-time (by Research)

Information for International applicants

Applicants must be in possession of:

Refer to the list of country-specific qualifications

the degree of Bachelor of Science with at least Second Class Honours in an area of study deemed by the Board to be relevant to the proposed area of study and obtained in the 10 years previous to registration for the Course or
the Bachelor of Science with Third Class Honours in an area of study deemed by the Board to be relevant to the proposed area of study and obtained in the 10 years previous to registration for the Course, provided that the applicants have obtained other qualifications, including relevant experience, following their first cycle degree. The Board may, at its discretion, require such applicants to follow a preparatory programme.

The Board, at its discretion, may also recommend the admission of applicants in possession of a Bachelor of Science with at least Category II in an area of study deemed by the Board to be relevant to the proposed area of study and obtained in the 10 years previous to registration for the Course, provided that the admission of such applicants shall be made conditional on the result of an interview and in such cases they shall be required to follow a preparatory programme.

The Board, at its discretion, may also recommend the admission of applicants with a first cycle degree deemed by the Board to be relevant to the proposed area of study and obtained in the 10 years previous to registration for the Course, provided that the admission of such applicants may be conditional on the result of an interview and in such cases they may be required to follow a preparatory programme.

Applicants whose first degree was obtained more than 10 years previous to registration for the Course may also be admitted following an interview to ascertain their capability to follow the Course. The Board may, at its discretion, require such applicants to follow a preparatory programme.

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You can submit your application online. The deadlines for submission of applications vary according to the intake and courses. We encourage all international applicants to submit their applications as soon as possible. This is especially important if you require a visa to travel and eventually stay in Malta.

You can compare your national qualifications to the local requirements by visiting our qualifications comparability webpage. Access more information about our admission process and English language requirements.

The University of Malta has student accommodation on campus called Campus Hub. Campus Hub is just a 2-minute walk from the main campus. For more information, visit the accommodation website.

Our dedicated team at the student recruitment office is here to support you every step of the way. From the moment you start your application to the moment when you receive your decision letter, we're here to assist you. If you have any questions or need further information, don't hesitate to reach out to us. You can contact us at info@um.edu.mt, and our team will be more than happy to help.

After you receive an offer from us, our International Office will assist you with visas, accommodation and other related issues.

This programme of study is also offered on a part-time basis. Please consult the Registrar's website for more information pertaining to courses offered by the University.

The MSc in Operations Research, as part of the masters' degree offerings by the Department of Statistics and Operations Research has been designed as a continuation in advanced studies in Probability, Statistics and Operations Research. The MSc course ranges widely over a large number of advanced topics in the main areas. The structure of the course centres around a dissertation in which theory and application come together in a logically coherent manner, complementing one another in the process of mastering a repertoire of mathematical, computational and statistical techniques. The acquired skills are assembled into a plan for solving problems originating within various applications. We also accept dissertations which are of a more theoretical bent provided the level of the mathematics involved is of a sufficient level. Once a plan for dissertation has been formulated, three supporting study units are selected to help the you acquire the techniques and theoretical underpinnings of relevant areas at a sufficiently deep level.

The programme of studies for MSc in Operations Research, as part of the masters degree offerings by the Department of Statistics and Operations Research has been designed as a continuation in advanced studies in Probability, Statistics and Operations Research. The MSc course ranges widely over a large number of advanced topics in the main areas. The structure of the course centres around a dissertation in which theory and application come together in a logically coherent manner, complementing one another in the process of mastering a repertoire of mathematical, computational and statistical techniques. The acquired skills are assembled into a plan for solving problems originating within various applications. We also accept dissertations which are of a more theoretical bent provided the level of the mathematics involved is of a sufficient level. Once a plan for dissertation has been formulated, three supporting study units are selected to help the student acquire the techniques and theoretical underpinnings of relevant areas at a sufficiently deep level.

Selection of study-units and dissertation construction are contemplated with the following considerations in mind:
ՠStudent background skills (or lack of them) in relevant areas
ՠA target of proficiency which involves mathematical and logical rigour
ՠA full appreciation of the support which the chosen subjects provide within the areas the student is working on
ՠAwareness of current advances in all relevant subjects
ՠProficiency with reference to the various computational issues encountered

Important note: This sequence of study-units is a comprehensive list which includes topics regularly registered by the Department of Statistics and Operations Research with university authorities for POSSIBLE use by postgraduate students as part of their courses. The selection of study-units for such purposes has to be done in conformity with departmental policies and through advice, consultation and approval by the relevant authorities.

Students are required to register for study-units equivalent to 30 ECTS credits and a 60 ECTS credit dissertation to a total of 90 ECTS credits.


Year (This/these unit/s start/s in Semester 1 and continue/s in Semester 2)

Elective Units (Elective units are offered subject to availability, a minimum number of student registrations and time-table constraints)

SOR5122	Stochastic Processes 3	10 ECTS
SOR5211	Multivariate Analysis 2	10 ECTS
SOR5221	Sampling 2	10 ECTS
SOR5242	Time Series 3	10 ECTS
SOR5262	Structural Equation Modeling	10 ECTS
SOR5263	Latent Variables: Measurement and Analysis	10 ECTS
SOR5272	Generalized Latent Variable Modeling	10 ECTS
SOR5273	Multi-Level Models	10 ECTS
SOR5291	Topics in Statistical Learning	10 ECTS
SOR5312	Stochastic Programming 2	10 ECTS
SOR5322	Topics in Stochastic Optimal Control	10 ECTS
SOR5411	Topics in Risk Theory	10 ECTS
SOR5501	Computationally Intensive Methods	10 ECTS
SOR5511	Topics in Numerical Analysis	10 ECTS
SOR5521	Topics in Topological Vector Spaces and Functional Analysis	10 ECTS


Semester 1

Compulsory Unit Either

SOR5100*	Dissertation in Statistics and Operations Research - Probability	60 ECTS

OR

SOR5200*	Dissertation in Statistics and Operations Research - Statistics	60 ECTS

OR

SOR5300*	Dissertation in Statistics and Operations Research - Operations Research	60 ECTS

OR

SOR5400*	Dissertation in Statistics and Operations Research - Financial and Actuarial Mathematics	60 ECTS

* Work on the disseration is expected to start in Semester 1 of academic year 2024/25 (October 2024) and continue up to the end of Summer Semester of academic year 2024/25 (September 2025).

This programme of study is governed by the General Regulations for University Postgraduate Awards, 2021 and Bye-Laws for the degree of Master of Science - M.Sc. - under the auspices of the Faculty of Science.

By the end of the programme, you will be able to:

Have an awareness of current advances in all relevant subjects.
Possess proficiency with reference to the various computational issues encountered.
Enhance and widen the experience of dealing competently with the notions of uncertainty and randomness in a logically valid and mathematically sophisticated way.
Identify probabilistic, statistical and/or operations research contexts within practical problems, and subsequently to produce correct formulations.
Utilise your fluency and confidence in accessing and consulting research work, including sophisticated theoretical constructs, in the pursuit of devising solutions for problems of a quantitative nature.

Non EU Applicants:

Total Tuition Fee: Eur 13,400

You are viewing the fees for non EU nationals. Switch to EU nationals if you are a national of any country from within the EU/EEA.

As an eventual holder of the M.Sc. in Operations Research you will be able to enter a career as a:

Statistician/Mathematician employed as an educator, academic or researcher.
Employee, manager of the National Statistics Office.
Employee, manager with various government departments and authorities (e.g. NAO, MFSA, Central Bank, MFSS, Communications Authority).
Employee, manager within the Finance industry (e.g. banks, insurance, investment).
Employee, manager within Manufacturing companies.
Employee, manager within the Airline industry.
Employee, manager within Communications industry.
Employee, manager within Lottery and Betting companies.

Every effort has been made to provide information that is current and accurate. However, as the content is being constantly updated, users are advised to verify the details contained in these web pages with the relevant University office or authority before making decisions based on the published information.