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Masters Degrees (Molecular Modeling)

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How does a disease develop in a patient or model system? Which substances can influence this process? How is effective medication designed and tested? Can you cure diseases with stem cells?. Read more
How does a disease develop in a patient or model system? Which substances can influence this process? How is effective medication designed and tested? Can you cure diseases with stem cells?

You study the causes and pathophysiology of diseases and intervention with drugs. The programme is interdisciplinary covering the whole range of drug development disciplines. From basic drug target discovery to molecular modeling of targets. And from synthesis andanalysis, pharmacology, toxicology and biopharmacy to clinical pharmacoepidemiology and post marketing surveillance.

The main feature of the programme are research projects in which you will learn about conducting research by actually doing it. You will independently perform experiments and go through the whole process of conducting science developing skills such as studying scientific literature, formulating hypotheses, designing and performing experiments, and interpreting and presenting your results. The programme therefore is a good preparation for a PhD programme or for independent practice of science in a future job.

You can either choose to design your programme tailored to your individual research interest or choose a specialisation. Available specialisations:Toxicology and Drug Disposition, with focus on adverse drug reactions and toxicokinetics of drugs, or Pharmacoepidemiology which studies intended and unintended effects of drugs in daily life.

Why in Groningen?

- Groningen drug research is among the best in the world
- Unique interdisciplinary cooperation between clinical, preclinical and pharmaceutical research fields
- Specialisations: Toxicology and Drug Disposition | Pharmacoepidemiology

Job perspectives

When you have finished the Master's programme in Medical Pharmaceutical Sciences you have multiple career options. You are optimally prepared to start a research career but you can also choose for a position that links science to business and policy.

Researcher (usually as a PhD) in a variety of organisations:
- Universities
- Academic and general hospitals
- Pharmaceutical, biomedical industries and food industries

Positions linking medical pharmaceutical sciences to a business or policy strategy in:
- Governmental and semi-governmental institutions such as the Medicines Evaluation Board or the Ministry of Health and Welfare
- Societal and patient organisations

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The master of science degree in bioinformatics provides students with a strong foundation in biotechnology, computer programming, computational mathematics, statistics, and database management. Read more

Program overview

The master of science degree in bioinformatics provides students with a strong foundation in biotechnology, computer programming, computational mathematics, statistics, and database management. Graduates of the program are well-prepared for careers in the biotechnology, bioinformatics, pharmaceutical, and vaccine industries. Based on consultation with individuals within the industry nationwide, the job market is rich with opportunities for those who obtain a graduate degree in bioinformatics, particularly when coupled with industry-sponsored research as thesis work. This research provides exposure to real-world problems—and their solutions—not otherwise attainable in an academic setting.

The program provides students with the capability to enter the bioinformatics workforce and become leaders in the field. The curriculum is designed to fulfill the needs of students with diverse educational and professional backgrounds. Individuals entering the program typically have degrees in biology, biotechnology, chemistry, statistics, computer science, information technology, or a related field. The program accommodates this diversity in two ways. First, a comprehensive bridge program exists for students who need to supplement their education before entering the program. Second, the program itself consists of two tracks, one for students with backgrounds in the life sciences and one for those with backgrounds in the computational sciences. Regardless of the track pursued, students are prepared to become professional bioinformaticists upon graduation. The program is offered on a full- or part-time basis to fulfill the needs of traditional students and those currently employed in the field.

Plan of study

A minimum of 30 semester credit hours is required for completion of the program. A number of graduate electives are offered for students to pursue areas of personal or professional interest. In addition, every student is required to complete a research project that addresses a relevant and timely topic in bioinformatics, culminating in a thesis. Graduate electives may be chosen from relevant RIT graduate courses.

Curriculum

Bioinformatics, MS degree, typical course sequence:
First Year
-Bioinformatics Seminar
-Graduate Bioinformatics Algorithms
-Graduate Ethics in Bioinformatics
Choose one of the following
-Database Management for the Sciences
-Cell and Molecular Genetics
-Graduate Elective*
-Graduate Statistical Analysis for Bioinformatics
-Graduate Molecular Modeling and Proteomics
-Graduate Elective*
Second Year
-Thesis

* Any graduate level course deemed related to the field of bioinformatics by the program director. See website for details.

Other admission requirements

-Have an undergraduate GPA of 3.2 or higher (on a 4.0 scale).
-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit scores from the Graduate Record Examination (GRE), and complete a graduate application.
-International applicants whose primary language is not English must submit scores from the Test of English as a Foreign Language (TOEFL). A minimum score of 79 (Internet-based) is required. International English Language Testing System (IELTS) scores are accepted in place of the TOEFL exam. Minimum scores will vary; however, the absolute minimum score required for unconditional acceptance is 6.0. For additional information about the IELTS, please visit http://www.ielts.org.

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Located in Canada's most enterprising city and neighboring one of the nation's best playgrounds - the Rockies - the Department of Chemistry's graduate program offers you the opportunity to collaborate with world-class researchers, work in highly sophisticated labs, and build the skills you need to pursue stimulating careers in both research and industry. Read more
Located in Canada's most enterprising city and neighboring one of the nation's best playgrounds - the Rockies - the Department of Chemistry's graduate program offers you the opportunity to collaborate with world-class researchers, work in highly sophisticated labs, and build the skills you need to pursue stimulating careers in both research and industry.

Among many other things, our 40 faculty members and 100+ graduate students work on advancing knowledge and finding solutions to problems regarding Chemistry for Cleaner Energy, Chemistry for Life and Health and Chemistry for the Quantum-Nano World that involve the following various research themes:
-Biological and Medicinal Chemistry
-Chemical Education Research
-Chemical Synthesis and Catalysis
-Computational Chemistry and Molecular Modeling
-Energy and Environment
-Nanotechnology and Materials Chemistry

The MSc (Thesis-based) is a full-time degree with an average completion time of two years, typically requiring a Bachelor's degree in the same or a closely related discipline.

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The Department of Physics and Physical Oceanography at Memorial University of Newfoundland has a well-established graduate studies program backed by a strong tradition of research. Read more
The Department of Physics and Physical Oceanography at Memorial University of Newfoundland has a well-established graduate studies program backed by a strong tradition of research. The Department has offered MSc programs since the inception of graduate studies at Memorial in 1960 and its first PhD program was created in 1969. In the present day, our students are supervised by faculty with international experience, connections, and recognition. Our research programs receive generous funding from NSERC, the CFI, and other organisations. Our labs and computer facilities are equipped to offer students world-class research opportunities.

Research opportunities in physical oceanography include coastal oceanography, numerical modeling, ocean acoustics, ocean mixing, fisheries oceanography, laboratory fluid dynamics, ocean instrumentation, and operational oceanography. Research in experimental and theoretical condensed matter physics spans four broad themes: (i) biomaterials and soft matter, (ii) magnetic and electronic materials, (iii) nanoscience and molecular physics, and (iv) photonics, spectroscopy, and microscopy. Theoretical and computational studies include numerical and analytic calculations pertaining to condensed matter (magnetic systems, superconductors, polymers, carbon nanostructures, the glass transition, nucleation and dynamics in supercooled liquids) and gravitational and black hole physics. Computational research within the Department is supported by excellent high performance computing facilities.

The MSc program involves courses and a thesis and can be completed in two years of full-time study.

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Programming for biology. Overview of molecular biology/genetics concepts. Statistical computing in R. Algorithms for molecular biology. Read more

Core modules

• Programming for biology
• Overview of molecular biology/genetics concepts
• Statistical computing in R
• Algorithms for molecular biology
• Medical genomics I: genomics of rare and common diseases
• Medical genomics II: the cancer genome
• Genomics techniques I: sequencing library preparation
• Genomics techniques II: genomics data analysis

Optional modules

• Scientific visualization
• Probabilistic models for molecular biology
• Molecular and cell biology of cancer
• Advanced and applied immunology
• Stochastic processes
• Machine learning
• Applied statistics
• Advanced probability with applications
• Linear modeling
• Bayesian Modeling

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Introduction to programming for biology. Introduction to statistical computing in R. Algorithms for molecular biology. Medical genomics I. Read more

Core modules

• Introduction to programming for biology
• Introduction to statistical computing in R
• Algorithms for molecular biology
• Medical genomics I: genomics of rare and common diseases
• Medical genomics II: the cancer genome
• Genomics techniques I: sequencing library preparation
• Genomics techniques II: genomics data analysis

Optional modules

• Scientific visualization
• Probabilistic models for molecular biology
• Molecular and cell biology of cancer
• Advanced and applied immunology
• Stochastic processes
• Machine learning
• Applied statistics
• Advanced probability with applications
• Linear modeling
• Bayesian Modeling

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Graduate education in Computational Science and Engineering (CMSE) at Koç University is offered through an interdisciplinary program among the Departments of the College of Arts and Sciences and the College of Engineering. Read more
Graduate education in Computational Science and Engineering (CMSE) at Koç University is offered through an interdisciplinary program among the Departments of the College of Arts and Sciences and the College of Engineering. In this program graduate students are trained on modern computational science techniques and their applications to solve scientific and engineering problems. New technological problems and associated research challenges heavily depend on computational modeling and problem solving. Because of the availability of powerful and inexpensive computers model-based computational experimentation is now a standard approach to analysis and design of complex systems where real experiments can be expensive or infeasible. Graduates of the CMSE Program should be capable of formulating solutions to computational problems through the use of multidisciplinary knowledge gained from a combination of classroom and laboratory experiences in basic sciences and engineering. Individuals with B.S. degrees in biology, chemistry, physics, and related engineering disciplines should apply for graduate study in the CMSE Program.

Current faculty projects and research interests:

• Computational Biology & Bioinformatics
• Computational Chemistry
• Computational Physics
• Molecular Dynamics and Simulation
• Parallel and High Performance Computing
• Computational Fluid Dynamics
• Dynamical and Stochastic Systems
• Quantum Mechanics of Many Body Systems
• Electronic Design Automation
• Numerical Methods
• Simulation of Material Synthesis
• Structural Dynamics
• Biomedical Modeling and Simulation
• Virtual Environments

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The Department of Population Medicine emphasizes a One Health approach to the understanding, prevention and control of diseases in domestic animal populations, as well as zoonotic diseases in human populations. Read more
The Department of Population Medicine emphasizes a One Health approach to the understanding, prevention and control of diseases in domestic animal populations, as well as zoonotic diseases in human populations. MSc programs are offered in the fields of epidemiology, health management and theriogenology. The PhD program in epidemiology prepares people for careers in research with advanced analytic skills.

The program is designed to provide advanced knowledge and skills in field study design, data gathering, analysis and interpretation, oral presentation, and problem solving, as well as training in basic and applied epidemiological research.

Faculty

We have faculty strength across a breadth of disciplines focused on epidemiology and health management. Our faculty members
conduct leading research in epidemiology and health management of farm animals, and the epidemiology of zoonoses and other foodborne and waterborne diseases of humans.

Research Environment

We emphasize population and field research and faculty have excellent access to ongoing field studies, population databases, and
external collaborative networks. We also have computing facilities for advanced quantitative analyses for disease surveillance, multi-level modeling, disease modeling, and molecular epidemiology, and participate in a Centre for Public Health and Zoonoses, which promotes and supports collaborative and interdisciplinary research in public health at the human/animal/environmental interface.

Active research links with scientists in the Public Health Agency of Canada (PHAC) provide excellent opportunities for research in public health.

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The MSc in Medical Visualisation and Human Anatomy is a one-year taught postgraduate programme offered by the School of Simulation and Visualisation at The Glasgow School of Art in collaboration with the Laboratory of Human Anatomy, University of Glasgow. Read more
The MSc in Medical Visualisation and Human Anatomy is a one-year taught postgraduate programme offered by the School of Simulation and Visualisation at The Glasgow School of Art in collaboration with the Laboratory of Human Anatomy, University of Glasgow.

The course presents a unique opportunity to combine actual cadaveric dissection with 3D digital reconstruction, interaction and visualisation using state of the art virtual reality facilities. It allows students to examine human anatomy, and to reconstruct it in a real-time 3D environment for use in education, simulation, and training. This Masters programme provides an ideal opportunity for enhancement of research into human anatomy, diagnostics, simulation, and visualisation, and is accredited by the Institute of Medical Illustrators.

Programme Structure:

The MSc Medical Visualisation & Human Anatomy programme is delivered over one year (45 weeks) in 3 Stages. Students undertaking the programme will split their time equally between the University of Glasgow and the Glasgow School of Art. The programme is delivered as two core areas - digital technologies applied to medical visualisation (delivered by the School of Simulation and Visualisation in Stage 1) and human anatomy (delivered by the Laboratory of Human Anatomy in Stage 2). In Stage 3, students work towards a large-scale self-directed final project, supported by supervisors from both DDS and GU.

Stage 1

3D modelling and animation
Applications in medical visualisation
Volumetric visualisation
Core research skills for postgraduates

Stage 2

Introduction to anatomy
Structure and function of the human body
Cadaveric dissection techniques

Stage 3

MSc Research Project

Part time study is also available. Please see the Part Time Study Guide for more information.

Scholarships and Funded Places:

A range of scholarships are available which cover partial or full fees. More information can be found here.

Entry requirements:

You should have a good Honours degree or equivalent in any of the following disciplines:

• Life sciences, medical or biomedical science, e.g. anatomy, physiology, dentistry or dental technology, forensic anthropology, molecular biological degrees and the allied health professionals
• Computer science, 3D visualisation, computer graphics, health informatics, mathematics, and physics
• Medical illustration, 3D design, product design, digital media, digital arts, 3D modeling and animation
• or equivalent professional practice

High calibre graduates from other disciplines may be considered if they are able to demonstrate an interest and ability in the field of medical visualisation.

IELTS 6.5 for overseas applicants for whom English is not their first language.

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See the department website - http://www.rit.edu/healthsciences/graduate-programs/medical-illustration/. A medical illustrator is a professional artist with advanced education in the life sciences and visual communication. Read more
See the department website - http://www.rit.edu/healthsciences/graduate-programs/medical-illustration/

A medical illustrator is a professional artist with advanced education in the life sciences and visual communication. Collaborating with scientists and physicians, medical illustrators transform complex information into visual images that are used in education, research, patient care, public relations, legal cases, and marketing efforts.

Plan of study

The MFA program provides training in the biomedical sciences, the principles of visual communication, and a variety of digital media including 2D illustration, 3D computer modeling, animation, and interactive media. Students produce a thesis, which involves independent research and visual problem-solving to communicate a complex scientific subject.

Admission requirements

To be considered for admission to the MFA in medical illustration, candidates must fulfill the following requirements:

- Hold a baccalaureate degree in a field of the arts, sciences, or education from a regionally accredited college. The undergraduate degree should include studio art courses, one year of general or introductory biology (for biology majors), and a minimum of three advanced biology courses, such as vertebrate anatomy, physiology, neurobiology, cell biology, molecular biology, immunology, microbiology, genetics, developmental biology, or pathology.

- Demonstrate, through the quality of the undergraduate record and creative production, a genuine, professional potential,

- Demonstrate, through the submission of a portfolio, outstanding drawing skills, particularly the ability to draw subjects from direct observation.

- Submit official transcripts (in English) of all previously completed undergraduate and graduate course work, and

- Complete a graduate application.

- International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language. Minimum scores of 550 (paper-based) or 80 (Internet-based) are required. Scores from the International English Language Testing System may be submitted in place of the TOEFL. A minimum score of 6.5 is required. Those applicants coming from countries where the baccalaureate degree is not awarded for programs in the practice of art may be admitted to graduate study if the diploma or certificate received approximates the standards of the BFA, BA, or BS degrees, and if their academic records and portfolios indicate an ability to meet graduate standards.

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The Nanoscale Engineering master is a two-year program corresponding to 120 ECTS credits. Students receive a universal and profound training in physics, materials science and electronics at the nanoscale, but also in nanobiotechnology. Read more
The Nanoscale Engineering master is a two-year program corresponding to 120 ECTS credits. Students receive a universal and profound training in physics, materials science and electronics at the nanoscale, but also in nanobiotechnology.

Elective courses can be followed by the students in their desired area of specialization and/or to broaden their horizons. The entire curriculum is taught in English.

A key educational concept of the program is that each student is immersed in a high-quality research environment for at least half of the time in the curriculum. Throughout the academic year, lab practicals and projects are carried out in research institutions that participate in the program, and thesis projects are undertaken in research laboratories or in nanotechnology companies.

In addition to the scientific and technological aspects, ethical issues and the societal impact of nanotechnology, as well as business considerations, are addressed in specialized seminars and courses.

Structure of the Curriculum

First Year (60 ECTS)

The major part of semester 1 is dedicated to lectures: The students follow 7 courses from the core modules and 2 elective modules. Laboratory practicals and mini-projects ensure a smooth transition into semester 2 with its four-month internship in a research group. This internship is prepared in semester 1 already with a dedicated literature survey. Seminars of speakers from both academia and industry complement the educational program throughout the entire first year.

Second Year (60 ECTS)

Semester 3 is again dedicated to lectures, featuring 5 slots for core modules and 3 for electives, as well as some ancillary courses. The entirety of semester 4 is taken up by the six-month Master thesis project, which can be conducted in a research laboratory or in a company, in France or abroad. As in the first year, seminars of speakers from both academia and industry complement the educational program.

Modules and Courses

Core Modules

These courses impart the fundamental knowledge in the nanotechnology field applied to physics, electronics, optics, materials science and biotechnology. Students are required to follow at least twelve core module courses during the two-year program.

Core modules in the first year There are four obligatory core modules in the first year:

Introduction to Nanoscale Engineering
Micro- and Nanofabrication, part 1
Characterization Tools for Nanostructures
Quantum Engineering

Furthermore, there is a remedial physics course to which students are assigned based on the results of a physics test at the beginning of semester 1:

Basics of Physics

Finally, students have to select a minimum of three courses from the following list for their first year:

Solid State Physics at the Nanoscale
Continuum Mechanics
Physics of Semiconductors, part 1
Physical Chemistry and Molecular Interactions
Biomolecules, Cells, and Biomimetic Systems

Core modules in the second year Students have to choose at least four courses from the following selection for their second year:

Nano-Optics and Biophotonics
Surface-Analysis Techniques
Physics of Semiconductors, part 2
Micro- and Nanofluidics
Micro- and Nanofabrication, part 2
Biosensors and Biochips
Computer Modeling of Nanoscale Systems

Elective Modules

These courses cover a wide range of nanotechnology-related disciplines and thus allow the students to specialize according to their preferences as well as to broaden their expertise. Elective modules in the first year Three courses from the following list have to be chosen for the first year:

Nanomechanics
MEMS and NEMS
Introduction to System Design
Drug-Delivery Systems

Elective modules in the second year Students follow a minimum of three courses from the following selection in the second year:

Multi-Domain System Integration
Solar Cells and Photovoltaics
Nanomagnetism and Spintronics
Nanoelectronics
Tissue and Cell Engineering

Experimental Modules

Students conduct lab practicals that are integrated into the various courses, during which they familiarize themselves hands-on with all standard techniques for fabrication and characterization of nanostructures. They furthermore have the opportunity to work more independently on individual or group projects.

Ancillary Courses and Seminars

This module deals with complementary know-how, relevant both for academia and in an industrial environment. Students follow a course on intellectual-property issues. Ethical aspects and the societal impact of nanotechnology are covered in specialized seminars, which also allow for networking with national and international nanotechnology companies and research laboratories. Communication skills are likewise developed through written and oral presentations of all experimental work that is carried out during the Master program.

Internship

In the second semester, students conduct two-month internships in two of the research laboratories participating in the program. The students choose their projects and come into contact with their host laboratories earlier in the academic year already, by spending some time in these laboratories to carry out an extensive literature survey and to prepare their research projects under the guidance of their supervisors.

Master Thesis Project

The final six-month period of the program is devoted to the master project, which can be carried out either in an academic research laboratory or in an industrial environment. Students have the option to conduct their thesis project anywhere in France or abroad.

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The Department of Mathematics offers graduate courses leading to M.Sc., and eventually to Ph.D., degree in Mathematics. The Master of Science program aims to provide a sound foundation for the students who wish to pursue a research career in mathematics as well as other related areas. Read more
The Department of Mathematics offers graduate courses leading to M.Sc., and eventually to Ph.D., degree in Mathematics. The Master of Science program aims to provide a sound foundation for the students who wish to pursue a research career in mathematics as well as other related areas. The department emphasizes both pure and applied mathematics. Research in the department covers algebra, number theory, combinatorics, differential equations, functional analysis, abstract harmonic analysis, mathematical physics, stochastic analysis, biomathematics and topology.

Current faculty projects and research interests:

• Ring Theory and Module Theory, especially Krull dimension, torsion theories, and localization

• Algebraic Theory of Lattices, especially their dimensions (Krull, Goldie, Gabriel, etc.) with applications to Grothendieck categories and module categories equipped with torsion theories

• Field Theory, especially Galois Theory, Cogalois Theory, and Galois cohomology

• Algebraic Number Theory, especially rings of algebraic integers

• Iwasawa Theory of Galois representations and their deformations Euler and Kolyvagin systems, Equivariant Tamagawa Number
Conjecture

• Combinatorial design theory, in particular metamorphosis of designs, perfect hexagon triple systems

• Graph theory, in particular number of cycles in 2-factorizations of complete graphs

• Coding theory, especially relation of designs to codes

• Random graphs, in particular, random proximity catch graphs and digraphs

• Partial Differential Equations

• Nonlinear Problems of Mathematical Physics

• Dissipative Dynamical Systems

• Scattering of classical and quantum waves

• Wavelet analysis

• Molecular dynamics

• Banach algebras, especially the structure of the second Arens duals of Banach algebras

• Abstract Harmonic Analysis, especially the Fourier and Fourier-Stieltjes algebras associated to a locally compact group

• Geometry of Banach spaces, especially vector measures, spaces of vector valued continuous functions, fixed point theory, isomorphic properties of Banach spaces

• Differential geometric, topologic, and algebraic methods used in quantum mechanics

• Geometric phases and dynamical invariants

• Supersymmetry and its generalizations

• Pseudo-Hermitian quantum mechanics

• Quantum cosmology

• Numerical Linear Algebra

• Numerical Optimization

• Perturbation Theory of Eigenvalues

• Eigenvalue Optimization

• Mathematical finance

• Stochastic optimal control and dynamic programming

• Stochastic flows and random velocity fields

• Lyapunov exponents of flows

• Unicast and multicast data traffic in telecommunications

• Probabilistic Inference

• Inference on Random Graphs (with emphasis on modeling email and internet traffic and clustering analysis)

• Graph Theory (probabilistic investigation of graphs emerging from computational geometry)

• Statistics (analysis of spatial data and spatial point patterns with applications in epidemiology and ecology and statistical methods for medical data and image analysis)

• Classification and Pattern Recognition (with applications in mine field and face detection)

• Arithmetical Algebraic Geometry, Arakelov geometry, Mixed Tate motives

• p-adic methods in arithmetical algebraic geometry, Ramification theory of arithmetic varieties

• Topology of low-dimensional manifolds, in particular Lefschetz fibrations, symplectic and contact structures, Stein fillings

• Symplectic topology and geometry, Seiberg-Witten theory, Floer homology

• Foliation and Lamination Theory, Minimal Surfaces, and Hyperbolic Geometry

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The Department of Physics and Physical Oceanography at Memorial University of Newfoundland has a well-established graduate studies program backed by a strong tradition of research. Read more
The Department of Physics and Physical Oceanography at Memorial University of Newfoundland has a well-established graduate studies program backed by a strong tradition of research. The Department has offered MSc programs since the inception of graduate studies at Memorial in 1960 and its first PhD program was created in 1969. In the present day, our students are supervised by faculty with international experience, connections, and recognition. Our research programs receive generous funding from NSERC, the CFI, and other organisations. Our labs and computer facilities are equipped to offer students world-class research opportunities.

Research opportunities in physical oceanography include coastal oceanography, numerical modeling, ocean acoustics, ocean mixing, fisheries oceanography, laboratory fluid dynamics, ocean instrumentation, and operational oceanography. Research in experimental and theoretical condensed matter physics spans four broad themes: (i) biomaterials and soft matter, (ii) magnetic and electronic materials, (iii) nanoscience and molecular physics, and (iv) photonics, spectroscopy, and microscopy. Theoretical and computational studies include numerical and analytic calculations pertaining to condensed matter (magnetic systems, superconductors, polymers, carbon nanostructures, the glass transition, nucleation and dynamics in supercooled liquids) and gravitational and black hole physics. Computational research within the Department is supported by excellent high performance computing facilities.

The MSc program involves courses and a thesis and can be completed in two years of full-time study.

Read less
The Department of Physics and Physical Oceanography at Memorial University of Newfoundland has a well-established graduate studies program backed by a strong tradition of research. Read more
The Department of Physics and Physical Oceanography at Memorial University of Newfoundland has a well-established graduate studies program backed by a strong tradition of research. The Department has offered MSc programs since the inception of graduate studies at Memorial in 1960 and its first PhD program was created in 1969. In the present day, our students are supervised by faculty with international experience, connections, and recognition. Our research programs receive generous funding from NSERC, the CFI, and other organisations. Our labs and computer facilities are equipped to offer students world-class research opportunities.

Research opportunities in physical oceanography include coastal oceanography, numerical modeling, ocean acoustics, ocean mixing, fisheries oceanography, laboratory fluid dynamics, ocean instrumentation, and operational oceanography. Research in experimental and theoretical condensed matter physics spans four broad themes: (i) biomaterials and soft matter, (ii) magnetic and electronic materials, (iii) nanoscience and molecular physics, and (iv) photonics, spectroscopy, and microscopy. Theoretical and computational studies include numerical and analytic calculations pertaining to condensed matter (magnetic systems, superconductors, polymers, carbon nanostructures, the glass transition, nucleation and dynamics in supercooled liquids) and gravitational and black hole physics. Computational research within the Department is supported by excellent high performance computing facilities.

The MSc program involves courses and a thesis and can be completed in two years of full-time study.

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