Masters Degrees (Modeling)

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 optoelectronics market is expected to grow significantly in coming years. This specialist optoelectronics Masters course will give you access to optoelectronics expertise, so you can take advantage of new opportunities in this field.

Optoelectronics includes electronic devices that source, detect and control light. On this course you will benefit from high-level vocational training in lasers, LED lighting and semiconductors, tailored to the needs of the optoelectronics and optical communications industries.

As part of your studies, you will also benefit from the latest research within the field. You will be able to attend relevant research seminars and departmental seminars that are held regularly throughout the year. These events reflect the most up-to-date thinking from academics and specialists from industry.

The teaching team, many of whom have published research in optoelectronics, lead the University’s Wireless and Optoelectronics Research and Innovation Centre This informs our teaching, so you will benefit from cutting-edge Course Content that embodies the latest research.

Routes of study:
The course is available to study via two routes:
- MSc Optoelectronics (with internship)
- MSc Optoelectronics (without internship)

Please note: *Internships are optional and available to full-time students only. Internship places are limited. Students have the opportunity to work in a participating UK company or within a Research Centre at the University. You can also opt to study the course without an internship which will reduce your course length.

What you will study

You will study the following modules:
- Physics in Modern Optics
- Optoelectronics Devices for Telecommunications
- Optoelectronics Devices for Life Science & Measurement
- Applied Digital Signal Processing
- Embedded System Design
- Product Innovation and Entrepreneurship
- Six month Internship
- Masters Major Individual Project

Learning and teaching methods

The optoelectronics course offers an intensive but flexible learning pattern, with two start points each year – February and September. There are three major blocks during the 18 months’ study (full-time), which includes 12 months of teaching and a possible six months of internship*. Throughout your studies you will complete a 15-week final research project.

You will be taught through lectures, tutorials and workshops involving hands-on systems modeling and simulations using state-of-the-art hardware and software facilities (Zemax, Lightools etc). Students will also engage in supervised research supported by full access to world-class online and library facilities.

You are also expected to regularly attend relevant research seminars and departmental colloquia, which reflect the up-to-date research interests of the Wireless and Optoelectronics Research and Innovation Centre (WORIC).

The optoelectronics course is available to study via two main routes, you can opt to add further value to your studies by undertaking an internship or simply focus on building your academic knowledge through a on-campus study as detailed below:

- MSc Optoelectronics (with internship):
Delivery: Full-time only | Start dates: September and February

If you choose to undertake an internship, your course will be delivered in four major blocks that offer an intensive but flexible learning pattern. Six taught modules are completed during two teaching blocks featuring 12 contact hours per week. This is followed by 6 month period of internship, after which the student returns to undertake a 16-week major research project. Please note: Course length may vary dependent on your chosen start date.

- MSc Optoelectronics (without internship):
Delivery: Full-time and Part-time | Start dates: September and February

The study pathway available without internship is available full-time and part-time. The full-time route is delivered in three major blocks. Six taught modules are completed during two teaching blocks featuring 12 contact hours per week followed by a 16-week major research project. The full-time course duration is about 12 months, if you study part-time then you will complete the course in three years. Part-time study involves completing three modules in each of the first two years and a major research project in the final year. The use of block-mode delivery in this way allows flexible entry and exit, and also enables practising engineers to attend a single module as a short course.

Work Experience and Employment Prospects

Many industries need specialists in optoelectronics systems design. Careers are available in industrial and technology sectors such as automotives, computers, consumer electronics, communications, industrial optical sensing equipment and medical laser equipment.

The major project gives you a great opportunity to deepen your knowledge and hone your skills in a specialist topic informed by your planned career, and the period of internship gives you an industrial experience that can set you apart from others immediately upon graduation.

Internship

Internships are only available to students studying full-time: Following successful completion of six taught modules, you will be competitively selected to join participating UK companies or University Research Centres on a six-month period of unpaid work placement before returning to undertake your major research project. All students who have an offer for the MSc Optoelectronics (with internship) are guaranteed an internship either in industry or in a University Research Centre.

There are 25 internship places available. Students who wish to undertake an internship must apply for the MSc Optoelectronics (with internship). It is anticipated that there will be significant demand for this programme and applicants are advised to apply as soon as possible to avoid disappointment. Applications will be considered on a first come first served basis and the numbers of students offered a place on the programme with internship will be capped.

If the course is already full and we are unable to offer you a place on the Masters course with internship, we may be able to consider you for the standard MSc Optoelectronics (without internship) which is a shorter programme.

Assessment methods

Each of the six taught modules is typically assessed through 50% coursework and 50% closed-book class test. The major project is assessed through presentation to a panel of examiners, viva and written report. Work for lecture modules is assessed largely through examinations whereas the laboratory work is assessed in a continuous manner. Lecture courses are examined at the end of each teaching block.

Facilities

There are two optoelectronics and two RF laboratories equipped with £1million worth of experimental equipments and modeling facilities. These state-of-the-art facilities are home to:

The Innova® Sabre® MotoFreD™ ion laser
Newfocus TLM-8700 fast sweep tunable laser source
Agilent 8164B Lightwave Measurement System
RENISHAW ML-10 Measurement Systems
Beam profilers: Thorlabs BC106-VIS – CCD Camera Beam Profiler, Thorlabs BP109-IR – Beam Profiler
Scanning Fabry-Perot Spectrum Analyzer. e.g. Thorlabs SA200-5B, Coherence 0464H08
Anritsu MS9710B Optical Spectrum Analyzer
Ocean Optics spectrometers. e.g. HR4000 and USB4000
Edwards E306A Coating System Thermal Vacuum Evaporator
SCS G3-8 Spin Coater
ZEPTO laboratory plasma cleaner ZEPTO
FUJIKURA FSM-40S ARC FUSION SPLICER
National Instruments FPGA and Digitizer
Signal generator: TG210 2MhZ function Generator
Oscilloscopes: HP infinium Oscilloscope, HM507 Combiscope
Anechoic Chamber suitable for frequencies above 1 GHz.
Various measurement systems for 2, 10, 20, 40, & 60 GHz links
VubiQ 60 GHz development kits
Three 60 GHz Backhaul links (Sub10 Systems)
Antenna radiation patterns measurement system
Two equipped vans for outdoor measurements
Programmable or Reconfigurable Platform (DSPs, FPGAs, GPPs)
The modeling facilities include high performance computing facilities (e.g. a 24-core cluster) equipped with various optoelectronic and EM modeling packages such as FDTD solutions, Zemax, FEKO, and VPI Photonics suites. We also in-house novel RF Ray-tracing and Physical Optics EM planning tools developed by members of WORIC.

Teaching

The academic staff teaching on the MSc Optoelectronics are the same people who lead and work in the WORIC. This international centre has a significant track record of innovation in lasers, sensors, nanophotonics, wireless communications, telecommunications, and optical communications and aims to provide industry with access to cutting edge innovative ideas and knowledge. WORIC has won many grants from EPSRC, TSB, EADS, as well as A4B is keen to solve real industrial problems with innovation that provides enormous market.

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The operating officers of tomorrow master in Operations Management today. The program focuses on the effective management of the resources and activities that produce or deliver the goods and services of a business. Operations managers oversee the people, materials, equipment and information resources that a business needs to produce and deliver its goods and services. Many of the most esteemed data systems operating the processes and activities of worldwide business are designed by operations managers.

Visit the website: http://manderson.cba.ua.edu/academics/departments/masters_program/master_of_science_in_operations_management

Choose from two track options:

Track 1: Operations Management

The master's program in Operations Management is offered both on campus and online. The degree requires 30 hours of coursework (10 courses). Full-time, on-campus students can complete the program in three semesters (fall/spring/summer). Students who want to pursue this degree program part-time while continuing to work can choose between the two-year and three-year schedules for completing the degree online.

Required Courses:

- OM 500 Management Science I
- OM 517 Supply Chain Modeling & Analysis
- OM 522 Operations Scheduling Problems
- OM 523 Inventory Management
- OM 524 Manufacturing Scheduling & Control Systems
- OM 540 Systems Simulation
- OM 596 Capstone Project
- ST 560 Statistical Methods

Track 2: Decision Analytics

The concept for this track is to offer an Operations Management master’s degree that combines the prescriptive modeling and analytical skills arising from the OM program with the data management and data mining skills arising from the SAS-UA Data Mining certification program offered in the Statistics program.

The Decision Analytics track consists of 10 courses: five from Operations Management, four from Statistics, and one from either Statistics or Management Information Systems.

- Required Courses:

- ST 560 Statistical methods in Research I
- ST 521 Statistical Data Management
- ST 531 Knowledge Discovery and Data Mining I
- ST532 Advanced Data Mining
- OM 500 Management Science and Spreadsheet Modeling
- OM 540 Systems Simulation
- OM 596 Capstone Project

- Two OM Elective Courses:

- OM 517 Supply Chain Modeling and Analysis
- OM 522 Operations Scheduling Problems
- OM 523 Inventory Management
- OM 524 Manufacturing Scheduling and Control Systems

*Choose two courses from this set of four courses.

- One Restricted Elective Course:

- ST 522 Advanced Statistical Data Management
- MIS 541 Business Analytics Support Systems

*Choose one of these two with consultation by program advisor.

How to apply: http://graduate.ua.edu/prospects/application/

Fund your studies

Student Financial Aid provides comprehensive information and services regarding opportunities to finance the cost of education at The University of Alabama. We recognize that financial assistance is an important key to helping reach your educational and career goals. The financial aid staff is dedicated to making the financial aid process as straightforward as possible. Visit the website to find out more: http://financialaid.ua.edu/

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Computational Life Science

In recent years, biological research has become increasingly interdisciplinary, focusing heavily on mathematical modeling and on the analysis of system-wide quantitative information. Sophisticated high-throughput techniques pose new challenges for data integration and data interpretation. The Computational Life Science (CompLife) MSc program at Jacobs University meets these challenges by covering computational, theoretical and mathematical approaches in biology and the life sciences. It is geared towards students of bioinformatics, computer science, physics, mathematics and related areas.

Program Features

The CompLife program is located at Jacobs University, a private and international English-language academic institution in Bremen, Germany. CompLife students at Jacobs University take a tailor-made curriculum comprising lectures, seminars and laboratory trainings. Courses cover foundational as well as advanced topics and methods. Core components of the program and areas of specialization include:

- Computational Systems Biology
- Computational Physics and Biophysics
- Bioinformatics
- RNA Biology
- Imaging and Modeling in Medicine
- Ecological Modeling
- Theoretical Biology
- Applied Mathematics
- Numerical Methods

For more details on the CompLife curriculum, please visit the program website at http://www.jacobs-university.de/complife.

Career Options

Graduates of the CompLife program are prepared for a career in biotechnology and biomedicine. Likewise, graduates of the program are qualified to move on to a PhD.

Application and Admission

The CompLife program starts in the first week of September every year. Please visit http://www.jacobs-university.de/graduate-admission or use the contact form to request details on how to apply. We are looking forward to receiving your inquiry.

Scholarships and Funding Options

All applicants are automatically considered for merit-based scholarships of up to € 12,000 per year. Depending on availability, additional scholarships sponsored by external partners are offered to highly gifted students. Moreover, each admitted candidate may request an individual financial package offer with attractive funding options. Please visit http://www.jacobs-university.de/study/graduate/fees-finances to learn more.

Campus Life and Accommodation

Jacobs University’s green and tree-shaded campus provides much more than buildings for teaching and research. It is home to an intercultural community which is unprecedented in Europe. A Student Activities Center, various sports facilities, a music studio, a student-run café/bar, concert venues and our Interfaith House ensure that you will always have something interesting to do.

For graduate students who would like to live on campus, Jacobs University offers accommodation in four residential colleges. Each college has its own dining room, recreational lounge, study areas, and common and group meeting rooms. Please visit http://www.jacobs-university.de/study/graduate/campus-life for more information.

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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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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
• Educational Sciences
• Geosciences
• Cognitive Sciences
• Mathematics
• Medicine
• Meteorology
• Microsystems Engineering
• Physics
• Political Sciences
• Psychology
• Sociology
• 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. 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
Part time study is also available. Please see the Part Time Study Guide for more information.

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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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. 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.
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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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. 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

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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