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Masters Degrees (Modeling)

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Complex systems with a technological, biological or socio-economic background determine our everyday life. Read more

About the Program

Complex systems with a technological, biological or socio-economic background determine our everyday life. The challenge of modeling these complex systems mathematically demands the following prototypic profile of an "expert mastering a repertoire of modern mathematical and computer based methods for modeling, simulating and optimizing complex systems and knowing how to combine those methods for solving real-world problems".
The term expert is understood in the sense of generalist and not a specialist, since this program aims at teaching a broad spectrum of modern methods.

The two-years English-taught master program "Mathematical Modeling of Complex Systems" focuses on advanced techniques of modeling, simulation and optimization. A substantial set of elective courses allows concentration on areas of individual interest. A mobility window enables the students to study abroad and gain scientific and cultural experience at international partner universities. This program uses English as medium of instruction since its graduates will enter a highly globalized work and research community. Besides that, the participation and enrollment of international candidates is explicitly welcomed.

Application oriented, interdisciplinary seminars link the theoretical basics and concepts of modeling and simulation. Students work in small teams to solve real world problems. This teamwork reflects typical work in applied sciences and corresponds to our paradigm of an "expert mastering a repertoire of methods to solve problems".

Find out more about the program and our campus in Koblenz under:
https://www.uni-koblenz-landau.de/de/koblenz/fb3/mathe/studium/mmcs/

Aims/Career Perspectives

The Master degree in Mathematical Modeling of Complex Systems is to give those possessing extended skills in Mathematics, Physics and Computer Science in theory, experiment and practical application. These skills are complemented with further knowledge in additional topics, individually selected by each student. The degree entitles its holder to exercise professional work in the field of Applied Mathematics and/or Mathematical Modeling in science or industry or to pursue a PhD program in related fields.

Program Structure

The first three terms of the two-years master „Mathematical Modeling of Complex Systems“ consist of core courses in Applied Mathematics and Applied Physics. Elective courses in Applied Mathematics, Applied Physics and Computer Sciences allow each student to set its individual focus. Active use of the gained knowledge and its application to the solution of real-world problems is taught and practiced in a project seminar. This project seminar can be carried out in a three-month period at a research institution, enterprise or at university. The master thesis in the last term and dealing with modeling and simulating a real-world problem, shows the student’s ability to perform independent research work.
The core and elective courses typically include a written or oral exam, the project seminar is graded based an oral presentation and written report of the project results.

You can find an exemplary list of courses and can download a overview of the modules under:
https://www.uni-koblenz-landau.de/de/koblenz/fb3/mathe/studium/mmcs#curriculum

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The ever-increasing importance in every engineering branch of modeling tools, i.e., virtual prototypes simulating complex physical and societal phenomena, requires a new generation of professionals able to exploit the full potential of the current simulation resources, possessing fundamentally different and innovative work proficiencies. Read more

The ever-increasing importance in every engineering branch of modeling tools, i.e., virtual prototypes simulating complex physical and societal phenomena, requires a new generation of professionals able to exploit the full potential of the current simulation resources, possessing fundamentally different and innovative work proficiencies. The expertise of modeling engineers cannot be restricted to classical devices, tools, and instrumentation, but requires a deeper and systematic knowledge of the basic concepts of mathematical and numerical modeling, with a wider vision on the intimate inter-relationship between data, physical processes, and computational methods.

The Master degree in "Mathematical Engineering", offered by the University of Padova, captures the evolution of professional engineers proposing an advanced study program that combines both solid fundamental knowledge of the physical processes and deep theoretical and technological competences. This degree exposes the student to a multidisciplinary education lying between engineering and applied mathematics, providing the attendants with the ability to mold their expertise towards several specific disciplines, though still receiving a solid general-purpose engineering and modeling culture.

For this reason, the program contains both theoretical and applied research-oriented courses, with the aim of building an innovative, high-level engineer profile, characterized by a strong theoretical and scientific background on mathematical modeling tools, as well as, on general physical and financial sciences, together with advanced computational engineering expertise. The successful student will acquire advanced skills in the field of mathematical modeling of physical or financial processes, with specific interest in the formulation, validation, and critical use of models and in the fundamental interpretation of related quantitative results. The graduates in Mathematical Engineering will be able to effectively formulate complex engineering problems within a multidisciplinary framework, and transfer and discuss results with experts of different disciplines.

Course structure

Please check: http://en.didattica.unipd.it/off/2017/LM/IN/IN2191

Career opportunities

Graduates in Mathematical Engineering can find natural occupational opportunities in agencies operating in the research of innovative technological solutions and advanced design with the aid of virtual prototype systems. The development and use of computational models is attracting a growing number of applications from different technological and scientific fields, as well as in economic and financial sciences, including risk analysis, trading, and investments.

The graduates in Mathematical Engineering have the expertise profile to cover positions of high responsibility in research and development centers, consulting companies, both public and private, working in advanced technological fields of civil, environmental and industrial, engineering, information technology laboratories, financial institutions, banks, insurance companies, energy companies, or consulting firms. They are also perfectly targeted at research institutions, or the academia. Their added value is given by their training in an international and collaborative environment, as well as by a rich proficiency in English.

Scholarships and Fee Waivers

The University of Padova, the Veneto Region and other organisations offer various scholarship schemes to support students. Below is a list of the funding opportunities that are most often used by international students in Padova.

You can find more information below and on our website here: http://www.unipd.it/en/studying-padova/funding-and-fees/scholarships

You can find more information on fee waivers here: http://www.unipd.it/en/fee-waivers



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See the Department website - http://www.rit.edu/kgcoe/program/microelectronic-engineering-1. Read more
See the Department website - http://www.rit.edu/kgcoe/program/microelectronic-engineering-1

The master of engineering in microelectronics manufacturing engineering provides a broad-based education for students who are interested in a career in the semiconductor industry and hold a bachelor’s degree in traditional engineering or other science disciplines.

Program outcomes

After completing the program, students will be able to:

- Design and understand a sequence of processing steps to fabricate a solid state device to meet a set of geometric, electrical, and/or processing parameters.

- Analyze experimental electrical data from a solid state device to extract performance parameters for comparison to modeling parameters used in the device design.

- Understand current lithographic materials, processes, and systems to meet imaging and/or device patterning requirements.

- Understand the relevance of a process or device, either proposed or existing, to current manufacturing practices.

- Perform in a microelectronic engineering environment, as evidenced by an internship.

- Appreciate the areas of specialty in the field of microelectronics, such as device engineering, circuit design, lithography, materials and processes, and yield and manufacturing.

Plan of study

This 30 credit hour program is awarded upon the successful completion of six core courses, two elective courses, a research methods course, and an internship. Under certain circumstances, a student may be required to complete bridge courses totaling more than the minimum number of credits. Students complete courses in microelectronics, microlithography, and manufacturing.

Microelectronics

The microelectronics courses cover major aspects of integrated circuit manufacturing technology, such as oxidation, diffusion, ion implantation, chemical vapor deposition, metalization, plasma etching, etc. These courses emphasize modeling and simulation techniques as well as hands-on laboratory verification of these processes. Students use special software tools for these processes. In the laboratory, students design and fabricate silicon MOS integrated circuits, learn how to utilize semiconductor processing equipment, develop and create a process, and manufacture and test their own integrated circuits.

Microlithography

The microlithography courses are advanced courses in the chemistry, physics, and processing involved in microlithography. Optical lithography will be studied through diffraction, Fourier, and image-assessment techniques. Scalar diffraction models will be utilized to simulate aerial image formation and influences of imaging parameters. Positive and negative resist systems as well as processes for IC application will be studied. Advanced topics will include chemically amplified resists; multiple-layer resist systems; phase-shift masks; and electron beam, X-ray, and deep UV lithography. Laboratory exercises include projection-system design, resist-materials characterization, process optimization, and electron-beam lithography.

Manufacturing

The manufacturing courses include topics such as scheduling, work-in-progress tracking, costing, inventory control, capital budgeting, productivity measures, and personnel management. Concepts of quality and statistical process control are introduced. The laboratory for this course is a student-run factory functioning within the department. Important issues such as measurement of yield, defect density, wafer mapping, control charts, and other manufacturing measurement tools are examined in lectures and through laboratory work. Computer-integrated manufacturing also is studied in detail. Process modeling, simulation, direct control, computer networking, database systems, linking application programs, facility monitoring, expert systems applications for diagnosis and training, and robotics are supported by laboratory experiences in the integrated circuit factory. The program is also offered online for engineers employed in the semiconductor industry.

Internship

The program requires students to complete an internship. This requirement provides a structured and supervised work experience that enables students to gain job-related skills that assist them in achieving their desired career goals.

Students with prior engineering-related job experience may submit a request for internship waiver with the program director. A letter from the appropriate authority substantiating the student’s job responsibility, duration, and performance quality would be required.

For students who are not working in the semiconductor industry while enrolled in this program, the internship may be completed at RIT. It involves an investigation or study of a subject or process directly related to microelectronic engineering under the supervision of a faculty adviser. An internship may be taken any time after the completion of the first semester, and may be designed in a number of ways. At the conclusion of the internship, submission of a final internship report to the faculty adviser and program director is required.

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BECOME A DESIRED MATHEMATICIAN. This research oriented Master’s will provide you with a rich toolkit of creative problem solving skills that will turn you into a desired scientist, both in and outside academia. Read more

BECOME A DESIRED MATHEMATICIAN

This research oriented Master’s will provide you with a rich toolkit of creative problem solving skills that will turn you into a desired scientist, both in and outside academia. You will dive deep into mathematics, develope genuine research skills in pure, applied and industrial areas and learn to think out of the box. 

CHOOSE FROM AN EXCEPTIONAL LIST OF COURSES

This Master's is part of the national Mastermath Programme, a collaboration of Dutch Mathematics Departments who joined efforts to enhance their Master's programmes. Due to this collaboration you can benefit from an exceptional list of mathematical courses, offered either by Utrecht University or another Dutch University. Check the courses page for more information and a full overview of the courses you can choose from.

WHY UTRECHT?

We combine our course offerings with personal and small-scale teaching, including:

  • a lively colloquium with distinguished international speakers;
  • research training in small group projects in pure-, applied- and industrial mathematics;
  • a unique special training in using historical sources;
  • student seminars in which you practice your own scientific presentation skills; 
  • collective learning of very advanced topics in pure or applied mathematics.

PERSONALIZE YOUR MASTER'S: CHOOSE YOUR TRACK

Within this Master's you can choose from 8 different tracks, allowing you to tailor the programme to your own personal interest. Depending on the track you choose, you can pursue your degree either in the direction of Fundamental Mathematics or in Mathematical Modeling. 

Fundamental Mathematics tracks:

Mathematical Modeling tracks:

You can also choose to do a Research project in History of Mathematics

DOUBLE MASTER DEGREE

If you are up for it, you can also combine the Mathematical Sciences programme with another Master's programmes of the Graduate School of Natural Sciences (e.g. Theoretical Physics, Climate Physics or Computing Science). This will result in a double Master's degree.

PROGRAMME OBJECTIVE

The Mathematical Sciences programme will prepare you for a challenging career, either in or outside academia. Mathematicians are desired employees in today's job market since they can easily deal with complex problems and large data sets in an abstract way. About 40% of our students continue with a PhD in mathematics or related research areas such as imaging or physics (in recent years at Harvard, London, Oxford, Stanford, etc). Many find employment in a research oriented environment at governments or in industry. Work fields include risk analysis, security, forensics, consultancy, data analytics, IT, logistics and more.



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The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. Read more

The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. The curriculum is very flexible. Students can compile their individual study plans based on their background and interests. It is also a very practical program. In addition to lectures and tutorials, students will complete two seminars, one or two projects and the master thesis.

In the beginning students will choose one or two key courses. Key courses are courses which introduce the students to the research areas represented at the Department of Computer Science. The following key courses are offered:

• Algorithm Theory

• Pattern Recognition

• Databases and Information Systems

• Software Engineering

• Artificial Intelligence

• Computer Architecture

After that, students can specialize in one of the following three areas:

• Cyber-Physical Systems

• Information Systems

• Cognitive Technical Systems

Here are some examples of subjects offered in the three specialization areas:

Cyber-Physical Systems:

• Cyber-Physical Systems – Discrete Models

• Cyber-Physical Systems – Hybrid Control

• Real Time Operation Systems and Reliability

• Verification of Embedded Systems

• Test and Reliability

• Decision Procedures

• Software Design, Modeling and Analysis in UML

• Formal Methods for Java

• Concurrency: Theory and Practice

• Compiler Construction

• Distributed Systems

• Constraint Satisfaction Problems

• Modal Logic

• Peer-to-Peer Networks

• Program Analysis

• Model Driven Engineering

Information Systems:

• Information Retrieval Data Models and Query Languages

• Peer-to-Peer Networks

• Distributed Storage

• Software Design, Modeling and Analysis in UML

• Security in Large-Scale Distributed Enterprises

• Machine Learning

• Efficient Route Planning

• Bioinformatics I

• Bioinformatics II

• Game Theory

• Knowledge Representation

• Distributed Systems

Cognitive Technical Systems:

• Computer Vision I

• Computer Vision II

• Statistical Pattern Recognition

• Mobile Robotics II

• Simulation in Computer Graphics

• Advanced Computer Graphics

• AI Planning

• Game Theory

• Knowledge Representation

• Constraint Satisfaction Problems

• Modal Logic

• Reinforcement Learning

• Machine Learning

• Mobile Robotics I

We believe that it is important for computer science students to get a basic knowledge in a field in which they might work after graduation. Therefore, our students have the opportunity to complete several courses and/or a project in one of the following application areas:

  • Bioinformatics
  • Microsystems Engineering
  • Neuroscience
  • Economics

In the last semester, students work on their master’s thesis. They are expected to tackle an actual research question in close cooperation with a professor and his/her staff.



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Serious games and virtual reality represent a large, and actively growing, industry – the application of modern games technology in a wide range of areas around medicine, training, education, security and beyond. Read more

Serious games and virtual reality represent a large, and actively growing, industry – the application of modern games technology in a wide range of areas around medicine, training, education, security and beyond. While educational games already represent a multi-billion dollar global industry, the recent growth in virtual reality has seen predictions that this market will grow to $150 billion dollars by 2020 (Techcrunch, April 6, 2015).

The MSc provides students with the skills to become a key part of this explosive growth, and potential to become key innovators in this exciting and rapidly developing area. The MSc offers students with prior programming/scripting experience the transferable skills to design, develop and analyse games and simulations for a range of application areas and to conduct interdisciplinary research in the serious applications of games technology, particularly in healthcare, education and training.

As Virtual Reality and interaction technologies approach mainstream adoption, new opportunities for the application of immersive games technologies in engineering, medicine and in the home are putting games at the forefront of innovation worldwide.

At the School of Simulation and Visualisation we already have years of experience working on a wide range of serious games based projects for industrial, medical, heritage and education clients, building on our research and our expertise in 3D modeling and animation, motion capture technology and software development. We are pleased to be able to share our experience and expertise with this MSc.

Programme Structure:

Stage 1

Core Research Skills for Postgraduates

Games Programming

Serious Game Design and Research

School of Simulation and Visualisation Elective: Choose one from

Interactive Heritage Visualisation

Applications in Medical Visualisation

Stage 2

Motion Capture & Interaction

Audio for games & interactive applications

Serious Games Development

GSA Elective

Stage 3

MSc Research Project

Entry Qualifications:

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

Computer science, computer graphics, computer programming, software development, mathematics, or physics

Computer games programming, game development, game design, game art, 3D modeling and animation, interactive systems

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

IELTS 6.0 for overseas applicants for whom English is not their first language.

Scholarships and Funded Places:

Information on career development loans and financial support can be found in the fees and funding pages.



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This Master of Science programme, taught entirely in English, aims at preparing high level professionals that can deal with a variety of problems common to all development and resource exploitation plans. Read more

Mission and Goals

This Master of Science programme, taught entirely in English, aims at preparing high level professionals that can deal with a variety of problems common to all development and resource exploitation plans. Their expertise will range from the knowledge of modelling of land and ecological systems, to acquisition and analysis of relevant data, geo-referencing and geo-processing, to pollution abatement technologies and reclamation plans. Students following this programme may either specialize in Geomatics or Environmental Engineering with particular emphasis on sustainable development and water resources.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/environmental-and-geomatic-engineering/

Career Opportunities

In addition to the classic professional opportunities for Environmental and Land Planning Engineering, studying Geomatic Engineering in depth allows to work in national or local bodies involved in cartography, land registries and collection of land data or in the aerospace and ICT industries involved in the management of territorial databases. On the other side, graduates with a deeper knowledge in Environmental Engineering can also found opportunities in the field of international relations, large multinational corporations and in non-governmental organizations.

Presentation

See http://www.polinternational.polimi.it/uploads/media/Environmental_and_Geomatic_Engineering_02.pdf
This Master of Science programme, taught entirely in English, aims at preparing high level professionals that can deal with a variety of problems common to all development and resource exploitation plans. Their expertise will range from the knowledge of modeling of land and ecological systems, to acquisition and analysis of relevant data, geo-referencing and geo-processing, to pollution abatement technologies and reclamation plans. Students will increase their understanding of the functioning of ecosystems, learn how to assess the local and global environmental impacts of human activities, and apply advanced methods, techniques and models to identify, describe, quantify and develop integrated systems to support environmental decision-makers. The programme is organized around two main topics: Geomatics or Environmental Engineering, with particular emphasis on sustainable development and water resources. The first specialization aims at creating experts in surveying, monitoring, representing the land shape and processes in terms of information systems, while the second provides the future engineers with a clear understanding of sustainability issues and of their application in the current professional activities.

The programme is taught in English.

Subjects

- Mandatory courses:
Modeling and Simulation, Statistical Analysis of Environmental Data, Natural Resources Management, Environmental and Natural Resources Economy and Geographic Information Systems

Eligible courses:
1. Geomatics
Remote Sensing, Image Analysis, Satellite Navigation and Monitoring; Geophysical Prospecting;

2. Environmental Engineering
Hydraulic Engineering and River Basin Reclamation, Environmental Technology, Engineering and Cooperation for Global Development and Energy for sustainable Development.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/environmental-and-geomatic-engineering/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/environmental-and-geomatic-engineering/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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Strate School of Design is one of the best Transportation design schools in the world. There is not a single car company without Strate alumni. Read more
Strate School of Design is one of the best Transportation design schools in the world. There is not a single car company without Strate alumni. Strate trains transportation designers for tomorrow, capable of developing a transversal and global vision of all mobility issues with a double exigency in terms of formal and conceptual excellence.

During this 19 months program, students will be trained to become strong professionals thanks to an intensive project- based pedagogy, car manufacturer master classes and partnerships, and a strong emphasis on all representation techniques (2D/3D).

Pedagogy:

1st semester

4 Design projects
Artistic techniques: Perspective, Sculpture, Color, Sketches, Modeling
Software tools: 3D, 2D
Classes: Methodology, Humanities and Social Sciences, Marketing, French
Conferences by Professionals
2nd Semester

3 Design projects
Artistic techniques: Sketches, Modeling
Software tools: 3D, 2D, Video
Classes: Humanities and Social Sciences, Marketing, French
Conferences by Professionals
Beginning of Diploma project: Thesis
3rd Semester

1 Design project
Artistic techniques: Sketches
Diploma project: Thesis, Project
Classes: Humanities and Social Sciences, French
Master Classes
Professionalization: Entrepreneurship, Coaching
4th Semester

Internship

Job opportunities

When you Graduate from Strate in Transportation Design you'll have a wide range of jobs opportunities, such as : Exterior Designer, Interior Designer, Color & Trim designer, Consultant Designer for automotive brands, Design Manager, Equipment Designer

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The Msc in Luxury & Fashion Management is the ideal program for professionals wanting to further their knowledge in business and specialize in the fast-growing, lucrative domains of luxury and fashion. Read more
The Msc in Luxury & Fashion Management is the ideal program for professionals wanting to further their knowledge in business and specialize in the fast-growing, lucrative domains of luxury and fashion.
Students interested in Luxury and Fashion benefit from Paris' unique position in the world. Strong academic learning is made relevant through company visits and exploratory field trips. Guest speakers share their industry-specific knowledge with students, who may also participate in company projects. Learning is particularly dynamic and interactive: syllabi clarify the body of knowledge to be mastered, while reference textbooks facilitate student preparation and home-learning. Our experienced international faculty brings academic and professional learning to life. Our specialized faculty members utilize cutting-edge teaching methods.

The MBA in Luxury & Fashion Management provides students with the tools and understanding necessary to create and promote luxury brands.
This rigorous program lasts 12 months and covers all aspects of this lucrative industry including fashion, leisure, hotels, yachts, private jets, wineries and more. Key components of the program included comprehension of consumer behavior, marketing techniques, entrepreneurship and networking. We invite guest speakers from the luxury & fashion industries to give seminars throughout the year, giving our students the opportunity to create important links with professionals working in the field.

1st Trimester: Foundation courses
History of Civilisations and origins of Luxury
Luxury Marketing and Distribution
International Luxury Brand Management
Financial Management
Social Marketing and sustainable development
Integrated Marketing communication
Business Law & Intellectual Propert
Management of Innovation and Business Development

For the 2nd and the 3rd Trimesters you choose 1 between 2 Specializations:

First Specialization: Luxury & Fashion
History of Haute Couture & Ready to Wear
Fashion Strategic Marketing and trends Analysis
Strategy business modeling
Fashion Social Media Marketing Strategy
Brand strategy and Fashion Licensing
History of social Costume and social Evolution
Merchandising Strategies for fashion retailers
Italian Fashion Management industry
Accessories and Leather Goods
Human Recourse Management

Second Specialization: Luxury & Lifestyle
The welness industry
Luxury Automotive Industry
Merchandiding of luxury products
Strategy Business modeling
Luxury Jewelry Industry
Watch Business Fundamentals
French Etiquette
Private Jets and Yachting Industry
High Gastronomy
Wine Marketing
Fragrance and cosmectics Management
Tourism & Hospitality Management

Job Opportunities

Students with an MBA in Luxury & Fashion Management go on to work as:
International Brand Directors, International Product Managers, International Purchase Managers in Luxury Goods, International Luxury Business Development Managers, Buyers, and Fashion Consultants, etc.

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The Laboratory for Foundations of Computer Science (LFCS) continues to lead the way in the development of mathematical models, theories and tools that probe the possibilities of computation and communication. Read more

The Laboratory for Foundations of Computer Science (LFCS) continues to lead the way in the development of mathematical models, theories and tools that probe the possibilities of computation and communication.

Our students benefit from being part of one of the largest and strongest groups of theoretical computer scientists in the world.

Our research is aimed at establishing deep understanding of computation in its many forms. Using advanced mathematical principles, we create theories and software tools allowing fundamental capabilities of computation to be explored, as well as designing languages that can be used to construct safe and effective programs.

Areas of interest within LFCS include: algorithms and complexity, cryptography, databases, logic, programming languages and semantics, performance modeling, quantum computing, security and privacy, software modeling and testing, and verification.

Training and support

As a research student at LFCS, you will have access to our highly respected academic staff community, which includes Fellows of the Royal Society and a winner of a Blaise Pascal medal. Our students regularly receive ‘best paper’ awards at conferences.

You will carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.

A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.

It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.

Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.

Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

Career opportunities

Our graduates are in high demand for postdoctoral academic roles. In addition, the skills you will graduate with can be applied to roles in industry, particularly finance, software development and consultancy.



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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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Sustainable engineering refers to the integration of social, environmental, and economic considerations into product, process, and energy system design methods. Read more
Sustainable engineering refers to the integration of social, environmental, and economic considerations into product, process, and energy system design methods. Additionally, sustainable engineering encourages the consideration of the complete product and process lifecycle during the design effort. The intent is to minimize environmental impacts across the entire lifecycle while simultaneously maximizing the benefits to social and economic stakeholders. The MS in sustainable engineering is multidisciplinary and managed by the industrial and systems engineering department.

The program builds on RIT’s work in sustainability research and education and offers students the flexibility to develop tracks in areas such as renewable energy systems, systems modeling and analysis, product design, and engineering policy and management. Course work is offered on campus and available on a full- or part-time basis.

Educational objectives

The program is designed to accomplish the following educational objectives:

- Heighten awareness of issues in areas of sustainability (e.g., global warming, ozone layer depletion, deforestation, pollution, ethical issues, fair trade, gender equity, etc.).

- Establish a clear understanding of the role and impact of various aspects of engineering (design, technology, etc.) and engineering decisions on environmental, societal, and economic problems. Particular emphasis is placed on the potential trade-offs between environmental, social, and economic objectives.

- Strong ability to apply engineering and decision-making tools and methodologies to sustainability-related problems.

- Demonstrate a capacity to distinguish professional and ethical responsibilities associated with the practice of engineering.

Plan of study

Technical in nature, the program equips engineers with the tools they need to meet the challenges associated with delivering goods, energy, and services through sustainable means. In addition to basic course work in engineering and classes in public policy and environmental management, students are required to complete a research thesis directly related to sustainable design challenges impacting society. Many thesis projects support the sustainability-themed research being conducted by RIT faculty in the areas of fuel-cell development, life-cycle engineering, and sustainable process implementation.

Students must successfully complete a total of 33 semester credit hours of course work comprised of five required core courses; two graduate engineering electives in an area of interest such as energy, modeling, manufacturing and materials, transportation and logistics, or product design and development; one social context elective; one environmental technology elective; two semesters of Graduate Seminar I, II (ISEE-795, 796); and a thesis. This research-oriented program is designed to be completed in two years.

Curriculum

- First Year

Fundamentals of Sustainable Engineering
Engineering of Systems I
Renewable Energy Systems
Graduate Seminar I
Lifecycle Assessment
Engineering Electives
Graduate Seminar II

- Second Year

Technology Elective
Social Context Elective
Research and Thesis

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See the department website - http://www.rit.edu/kgcoe/program/microelectronic-engineering-0. Read more
See the department website - http://www.rit.edu/kgcoe/program/microelectronic-engineering-0

The objective of the master of science degree in microelectronic engineering is to provide an opportunity for students to perform graduate-level research as they prepare for entry into either the semiconductor industry or a doctoral program. The degree requires strong preparation in the area of microelectronics and requires a thesis.

Program outcomes

- Understand the fundamental scientific principles governing solid-state devices and their incorporation into modern integrated circuits.

- Understand the relevance of a process or device, either proposed or existing, to current manufacturing practices.

- Develop in-depth knowledge in existing or emerging areas of the field of microelectronics, such as device engineering, circuit design, lithography, materials and processes, and yield and manufacturing.

- Apply microelectronic processing techniques to the creation/investigation of new process/device structures.

- Communicate technical material effectively through oral presentations, written reports, and publications.

Plan of study

The MS degree is awarded upon the successful completion of a minimum of 33 semester credit hours, including a 6 credit hour thesis.

The program consists of eight core courses, two graduate electives, 3 credits of graduate seminar and a thesis. The curriculum is designed for students who do not have an undergraduate degree in microelectronic engineering. Students who have an undergraduate degree in microelectronic engineering develop a custom course of study with their graduate adviser.

- Thesis

A thesis is undertaken once the student has completed approximately 20 semester credit hours of study. Planning for the thesis, however, should begin as early as possible. Generally, full-time students should complete their degree requirements, including thesis defense, within two years (four academic semesters and one summer term).

Curriculum

- First Year

Microelectronic Fabrication
Lithographic Materials and Processes
Thin Films
Microelectronics Research Methods
Microelectronic Man.
VLS Process Modeling
Graduate Elective*
Microelectronics Research Methods

- Second Year

Graduate Elective*
MS Thesis
Microelectronics Research Methods

* With adviser approval.
Physical Modeling of Semiconductor Devices

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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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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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