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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 BIM for Owners & Developers Global Executive Program provides key decision-making skills to effectively implement BIM methodology in business organizations, public administrations, and construction projects in various disciplines of the AECO industry. Read more
The BIM for Owners & Developers Global Executive Program provides key decision-making skills to effectively implement BIM methodology in business organizations, public administrations, and construction projects in various disciplines of the AECO industry. Our professors from all over the world are influential thought leaders in BIM, who will guide you through the program to ensure that you will master BIM project management in real life case studies and all the necessary competences.

Results/Why choose this program?

The aim of the BIM for Owners & Developers Global Executive Program is to demonstrate how to use BIM management tools to develop strategies, execute projects, improve outcomes and save money.

After you complete this program, you will have increased transparency, within a more integrated design and construction process, which will lead to a higher quality building, reduced costs and shorter time frames.

BIM for Owners and Developers helps to execute every project faster, easier and more cost-effectively. New tools and processes help the owner and developer become successful by creating streamlined project delivery. BIM a holistic process, touching every phase of a construction project and all the parties involved, from planning to completion and commissioning to handover.

Program Content

This executive program focuses on the challenges and opportunities that BIM offers to Owners and Developers.

The first module of the program focuses on theory delivered by the most respected professionals and researchers. The second module is all about real life case studies, explained in-person by their main characters.

All of the concepts from the first module are applied in the second module, to demonstrate the benefits of different types of projects in different situations on various continents. Finally, during the third module, participants create their own case studies.
These three modules will be held online. At the completion of the program, a meeting will be held which will provide you with the perfect opportunity to meet with the directors, advisory board member, professors and other participants of the program in person.
The first meeting is going to be held at the European BIM Summit next May, 2017, in Barcelona (organized by buildingSMART, the Association of Building Engineers of Barcelona and BIM Academy). The second edition of the course will take place during the celebration of BIM World in Munich next October, 2017. Each BIM for Owners and Developers meeting is open to all participants and guest board members.

FIRST MODULE: BIM FACILITY MANAGEMENT - 10 OWNER'S BIM DIMENSIONS

This 40-hour module is divided into ten BIM Dimensions for owners and developers. It is a structured way to present the full potential of this technology and tooling process.

These topics are covered in ten Units:

1. INTRODUCTION TO BIM
2. BIM IMPLEMENTATION
3. THE 3D MODEL
4. VIRTUAL PLANNING
5. BUDGET
6. ENERGY MODEL
7. MODEL FOR MAINTENANCE
8. BIM FOR HEALTH AND SAFETY
9. LEAN CONSTRUCTION
10. INDUSTRIALISED CONSTRUCTION

SECOND MODULE: 4 CASE STUDIES

This is a 40-hour module that presents four case studies. We have benchmarked the best case study methodologies used in business schools (such as Harvard, Aalborg University, and IESE) and we translated them for the construction sector.
We have asked 50 professionals and experts to create their own case studies, based on their own experiences. Each one presents the conceptual framework of a company or a project and the solution generated to solve it. Case studies cover all building fields and are divided into two sectors, buildings and infrastructures.
You will be able to choose any case study, based on your professional interests.

THIRD MODULE: WORK IN YOUR OWN PROJECT - CREATE YOUR BIP OR BEP

After the first theory module, where ten BIM Dimensions are dissected, and the second practical module, applying concepts to real case studies, it is time for you to create your own case study and simulate the decision-making process.
This last 40-hour module is designed to help you to decide on your own needs while working with a personal advisor. There are two possibilities: to create a BIP or to create a BEP.

BIP is the set of specific actions necessary to successfully implement BIM both in public and private companies. We will help you to set your own BIP action plan for your organization.

BEP is the acronym for BIM Execution Plan, and it is the main protocol document for a BIM project. BEP can be used to create a financial proposal for the delivery of a building or infrastructure with all the necessary documentation. You can choose to execute this plan with one of your own existing projects.

Program Features

Software (temporary licences): 3Squared, Aconex, Areo AS, Bentley Systems, Conject, Ecodomus, IEAG (International Engineering + Architecture Group), Matterport, Microdesk, IBM, Planon, SEPS, National Institute of Building Sciences, ONUMA, Granlund
Endorsed by:buildingSMART

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The Global BIM Management Certification Program is one of the most advanced professional certification programs for BIM Managers in the world. Read more
The Global BIM Management Certification Program is one of the most advanced professional certification programs for BIM Managers in the world. This internationally popular program caters to the needs of professionals in more than 20 sectors in the AECO (Architecture, Engineering, Construction and Operations) industry. We provide our students with the methodology, tools and skills necessary to become leaders in BIM implementation. Become a fully capable BIM Manager working in construction projects with high-performance teams from all around the world.

BIM is changing the way projects evolve around the world, how they begin and conclude, whether an entire project or a specific BIM implementation plan in a big or small company. This emerging practice is the result of progress in the AECO industry, requiring new mindsets, processes and technological proficiencies to achieve significant improvements in efficiency and cost control.

This global certification program is developed together with BIM Freelance (our academic partners) leading BIM practitioners, professors and architectural firms with a long history in BIM implementation, counting more than 20 years of experience in the AECO industry. In addition, the range of hand-picked professors, who teach, is outstanding, with lecturers from the Americas, Europe, Asia, Oceania and Africa.

This program is designed to prepare architecture, engineering and construction sector professionals. Participants may have various levels of experience to successfully learn BIM methodologies, implement them and work in highly effective teams with other professionals in the AECO industry. The program consists of more than 600 hours of streaming masterclasses and webinars, video tutorials, recorded lectures, technical documentation and international real projects with collaborative methodology.

Results/Why choose this program?

The Global BIM Management Certification Program prepares the participants to lead a new business paradigm in the AECO industry. During this program, the participants learn how to handle the newest digital tools that can be applied to the design, construction and maintenance of buildings. This is achieved through the integrated practice of IPD – Integrated Project Delivery. In collaboration with multidisciplinary partners worldwide, numerous real international projects are accomplished, using various software (Revit, ArchiCAD, Allplan and AECOsim) and a platform for Project Management. In addition to this, participants learn how to implement and manage BIM systems in high-performance teams, both in small businesses (Little BIM) and large corporations (Big BIM).

The goal of this program, designed for architects and engineers who have background knowledge in building projects, is to fully certify and authorize participants in the field of BIM Management.

A BIM Manager oversees a whole building's lifecycle, makes sure that all elements of a model are in accordance with a Project Execution Plan (BEP) working collaboratively with all the teams involved in a construction project. A BIM Manager must detect any challenges in a project as well as keep costs down, improve an overall workflow and efficiency.

Program Content

MODULE 1 BIM SPECIALIST

• SECTION 1. COORDINATION SKILLS
• SECTION 2. DESIGN SKILLS
• SECTION 3. ENGINEERING SKILLS

MODULE 2 BIM EXPERT

• SECTION 1. INFORMATION MANAGEMENT SKILLS
• SECTION 2. SKILLS IN COORDINATION OF THE DEVELOPMENT OF OBJECTS
• SECTION 3. ORGANISATION SKILLS

MODULE 3 BIM MANAGEMENT

• SECTION 1. AECO IN THE DIGITAL ERA
• SECTION 2, BIM: STATE OF THE QUESTION
• SECTION 3. INFORMATION, INFORMATION, INFORMATION
• SECTION 4. THE PAPER FROM CTO CHIEF TECHNOLOGY OFFICER
• SECTION 5. BIG BIM & LITTLE BIM
• SECTION 6. IMPLEMENTING STRATEGIES
• SECTION 7. ORGANISATION ANALYSIS
• SECTION 8. DESIGNING A NEW ENVIRONMENT
• SECTION 9. BUILDING A TEAM
• SECTION 10. IMPLEMENTATION OF THE BIM PLAN

MODULE 4 BIM IMPLEMENTATION

• SECTION 1. COLLABORATIVE DESIGN
• SECTION 2. BIM PROTOCOL
• SECTION 3. LIFE CYCLE OF THE INTEGRATED PRACTICE
• SECTION 4. STANDARDS OF THE ORGANISATION
• SECTION 5. QUALITY CONTROL
• SECTION 6. EXECUTION PLAN FOR BIM
• SECTION 7. BIM MANAGEMENT STRATEGIES

MODULE 5 SUSTAINABLE BUILDING MANAGEMENT

• SECTION 1. SUSTAINABILITY AND TERRITORY
• SECTION 2. RESTORATION, THE NEW MARKET FOR AECO
• SECTION 3. BIOCLIMATIC DESIGN
• SECTION 4. ECO-EFFICIENCY
• SECTION 5. PLAN DIRECTOR RESTORATION

MODULE 6 FACILITY MANAGEMENT

• SECTION 1. BIM I&M AEC OPERATIONS AND MAINTENANCE
• SECTION 2. GOVERNMENT STRATEGIES IN THE PUBLIC SECTOR
• SECTION 3. FM. STANDARD INTEROPERABILITY
• SECTION 4. O&M NEW MARKET
• SECTION 5. ASSET MANAGEMENT
• SECTION 6. BIM I&M AEC INDUSTRY PRODUCTS

MODULE 7 DIGITAL FABRICATION

Program Features

Software (temporary licenses): Revit (Autodesk), ArchiCAD (Graphisoft), Allplan (Nemetschek), Bentley (AECOsim), CYPECADMEP, Structures and Archimedes, Tekla (Construsoft), Vico (Trimble), Solibri, Navisworks(Autodesk), Synchro, DDS-CAD Presto, dRofus, dalux (and more)

BIM Servers: Revit Server (Autodesk), BIM Cloud (Graphisoft), ProjectWise (Bentley Systems), Allplan License Server (Nemetschek)
Certified by: Bentley, Graphisoft, Autodesk Authorised Training Centre, CanBIM

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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. Read more
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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Joining the Department as a postgraduate is certainly a good move. The Department maintains strong research in both pure and applied mathematics, as well as the traditional core of a mathematics department. Read more
Joining the Department as a postgraduate is certainly a good move. The Department maintains strong research in both pure and applied mathematics, as well as the traditional core of a mathematics department. What makes our Department different is the equally strong research in fluid mechanics, scientific computation and statistics.

The quality of research at the postgraduate level is reflected in the scholarly achievements of faculty members, many of whom are recognized as leading authorities in their fields. Research programs often involve collaboration with scholars at an international level, especially in the European, North American and Chinese universities. Renowned academics also take part in the Department's regular colloquia and seminars. The faculty comprises several groups: Pure Mathematics, Applied Mathematics, Probability and Statistics.

Mathematics permeates almost every discipline of science and technology. We believe our comprehensive approach enables inspiring interaction among different faculty members and helps generate new mathematical tools to meet the scientific and technological challenges facing our fast-changing world.

The MPhil program seeks to strengthen students' general background in mathematics and mathematical sciences, and to expose students to the environment and scope of mathematical research. Submission and successful defense of a thesis based on original research are required.

Research Foci

Algebra and Number Theory
The theory of Lie groups, Lie algebras and their representations play an important role in many of the recent development in mathematics and in the interaction of mathematics with physics. Our research includes representation theory of reductive groups, Kac-Moody algebras, quantum groups, and conformal field theory. Number theory has a long and distinguished history, and the concepts and problems relating to the theory have been instrumental in the foundation of a large part of mathematics. Number theory has flourished in recent years, as made evident by the proof of Fermat's Last Theorem. Our research specializes in automorphic forms.

Analysis and Differential Equations
The analysis of real and complex functions plays a fundamental role in mathematics. This is a classical yet still vibrant subject that has a wide range of applications. Differential equations are used to describe many scientific, engineering and economic problems. The theoretical and numerical study of such equations is crucial in understanding and solving problems. Our research areas include complex analysis, exponential asymptotics, functional analysis, nonlinear equations and dynamical systems, and integrable systems.

Geometry and Topology
Geometry and topology provide an essential language describing all kinds of structures in Nature. The subject has been vastly enriched by close interaction with other mathematical fields and with fields of science such as physics, astronomy and mechanics. The result has led to great advances in the subject, as highlighted by the proof of the Poincaré conjecture. Active research areas in the Department include algebraic geometry, differential geometry, low-dimensional topology, equivariant topology, combinatorial topology, and geometrical structures in mathematical physics.

Numerical Analysis
The focus is on the development of advance algorithms and efficient computational schemes. Current research areas include: parallel algorithms, heterogeneous network computing, graph theory, image processing, computational fluid dynamics, singular problems, adaptive grid method, rarefied flow simulations.

Applied Sciences
The applications of mathematics to interdisciplinary science areas include: material science, multiscale modeling, mutliphase flows, evolutionary genetics, environmental science, numerical weather prediction, ocean and coastal modeling, astrophysics and space science.

Probability and Statistics
Statistics, the science of collecting, analyzing, interpreting, and presenting data, is an essential tool in a wide variety of academic disciplines as well as for business, government, medicine and industry. Our research is conducted in four categories. Time Series and Dependent Data: inference from nonstationarity, nonlinearity, long-memory behavior, and continuous time models. Resampling Methodology: block bootstrap, bootstrap for censored data, and Edgeworth and saddle point approximations. Stochastic Processes and Stochastic Analysis: filtering, diffusion and Markov processes, and stochastic approximation and control. Survival Analysis: survival function and errors in variables for general linear models. Probability current research includes limit theory.

Financial Mathematics
This is one of the fastest growing research fields in applied mathematics. International banking and financial firms around the globe are hiring science PhDs who can use advanced analytical and numerical techniques to price financial derivatives and manage portfolio risks. The trend has been accelerating in recent years on numerous fronts, driven both by substantial theoretical advances as well as by a practical need in the industry to develop effective methods to price and hedge increasingly complex financial instruments. Current research areas include pricing models for exotic options, the development of pricing algorithms for complex financial derivatives, credit derivatives, risk management, stochastic analysis of interest rates and related models.

Facilities

The Department enjoys a range of up-to-date facilities and equipment for teaching and research purposes. It has two computer laboratories and a Math Support Center equipped with 100 desktop computers for undergraduate and postgraduate students. The Department also provides an electronic homework system and a storage cloud system to enhance teaching and learning.

To assist computations that require a large amount of processing power in the research area of scientific computation, a High Performance Computing (HPC) laboratory equipped with more than 200 high-speed workstations and servers has been set up. With advanced parallel computing technologies, these powerful computers are capable of delivering 17.2 TFLOPS processing power to solve computationally intensive problems in our innovative research projects. Such equipment helps our faculty and postgraduate students to stay at the forefront of their fields. Research projects in areas such as astrophysics, computational fluid dynamics, financial mathematics, mathematical modeling and simulation in materials science, molecular simulation, numerical ocean modeling, numerical weather prediction and numerical methods for micromagnetics simulations all benefit from our powerful computing facilities.

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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. Read more
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 Department of Metallurgical and Materials Engineering offers a master of science in metallurgical engineering. Visit the website http://mte.eng.ua.edu/graduate/ms-program/. Read more
The Department of Metallurgical and Materials Engineering offers a master of science in metallurgical engineering.

Visit the website http://mte.eng.ua.edu/graduate/ms-program/

The program options include coursework only or by a combination of coursework and approved thesis work. Most on-campus students supported on assistantships are expected to complete an approved thesis on a research topic.

Plan I is the standard master’s degree plan. However, in exceptional cases, a student who has the approval of his or her supervisory committee may follow Plan II. A student who believes there are valid reasons for using Plan II must submit a written request detailing these reasons to the department head no later than midterm of the first semester in residence.

All graduate students, during the first part and the last part of their programs, will be required to satisfactorily complete MTE 595/MTE 596. This hour of required credit is in addition to the other degree requirements.

Course Descriptions

MTE 519 Principles of Casting and Solidification Processing. Three hours.
Overview of the principles of solidification processing, the evolution of solidification microstructure, segregation, and defects, and the use of analytical and computational tools for the design, understanding, and use of solidification processes.

MTE 520 Simulation of Casting Processes Three hours.
This course will cover the rationale and approach of numerical simulation techniques, casting simulation and casting process design, and specifically the prediction of solidification, mold filling, microstructure, shrinkage, microporosity, distortion and hot tearing. Students will learn casting simulation through lectures and hands-on laboratory/tutorial sessions.

MTE 539 Metallurgy of Welding. Three hours.
Prerequisite: MTE 380 or permission of the instructor.
Thermal, chemical, and mechanical aspects of welding using the fusion welding process. The metallurgical aspects of welding, including microstructure and properties of the weld, are also covered. Various topics on recent trends in welding research.

MTE 542 Magnetic Recording Media. Three hours.
Prerequisite: MTE 271.
Basic ferromagnetism, preparation and properties of magnetic recording materials, magnetic particles, thin magnetic films, soft and hard film media, multilayered magnetoresistive media, and magneto-optical disk media.

MTE 546 Macroscopic Transport in Materials Processing. Three hours.
Prerequisite: MTE 353 or permission of the instructor.
Elements of laminar and turbulent flow; heat transfer by conduction, convection, and radiation; and mass transfer in laminar and in turbulent flow; mathematical modeling of transport phenomena in metallurgical systems including melting and refining processes, solidification processes, packed bed systems, and fluidized bed systems.

MTE 547 Intro to Comp Mat. Science Three hours.
This course introduces computational techniques for simulating materials. It covers principles of quantum and statistical mechanics, modeling strategies and formulation of various aspects of materials structure, and solution techniques with particular reference to Monte Carlo and Molecular Dynamic methods.

MTE 549 Powder Metallurgy. Three hours.
Prerequisite: MTE 380 or permission of the instructor.
Describing the various types of powder processing and how these affect properties of the components made. Current issues in the subject area from high-production to nanomaterials will be discussed.

MTE 550 Plasma Processing of Thin Films: Basics and Applications. Three hours.
Prerequisite: By permission of instructor.
Fundamental physics and materials science of plasma processes for thin film deposition and etch are covered. Topics include evaporation, sputtering (special emphasis), ion beam deposition, chemical vapor deposition, and reactive ion etching. Applications to semiconductor devices, displays, and data storage are discussed.

MTE 556 Advanced Mechanical Behavior of Materials I: Strengthening Methods in Solids. Three hours. Same as AEM 556.
Prerequisite: MTE 455 or permission of the instructor.
Topics include elementary elasticity, plasticity, and dislocation theory; strengthening by dislocation substructure, and solid solution strengthening; precipitation and dispersion strengthening; fiber reinforcement; martensitic strengthening; grain-size strengthening; order hardening; dual phase microstructures, etc.

MTE 562 Metallurgical Thermodynamics. Three hours.
Prerequisite: MTE 362 or permission of instructor.
Laws of thermodynamics, equilibria, chemical potentials and equilibria in heterogeneous systems, activity functions, chemical reactions, phase diagrams, and electrochemical equilibria; thermodynamic models and computations; and application to metallurgical processes.

MTE 574 Phase Transformation in Solids. Three hours.
Prerequisites: MTE 373 and or permission of the instructor.
Topics include applied thermodynamics, nucleation theory, diffusional growth, and precipitation.

MTE 579 Advanced Physical Metallurgy. Three hours.
Prerequisite: Permission of the instructor.
Graduate-level treatments of the fundamentals of symmetry, crystallography, crystal structures, defects in crystals (including dislocation theory), and atomic diffusion.

MTE 583 Advanced Structure of Metals. Three hours.
Prerequisite: Permission of the instructor.
The use of X-ray analysis for the study of single crystals and deformation texture of polycrystalline materials.

MTE 585 Materials at Elevated Temperatures. Three hours.
Prerequisite: Permission of the instructor.
Influence of temperatures on behavior and properties of materials.

MTE 587 Corrosion Science and Engineering. Three hours.
Prerequisite: MTE 271 and CH 102 or permission of the instructor.
Fundamental causes of corrosion problems and failures. Emphasis is placed on tools and knowledge necessary for predicting corrosion, measuring corrosion rates, and combining this with prevention and materials selection.

MTE 591:592 Special Problems (Area). One to three hours.
Advanced work of an investigative nature. Credit awarded is based on the work accomplished.

MTE 595:596 Seminar. One hour.
Discussion of current advances and research in metallurgical engineering; presented by graduate students and the staff.

MTE 598 Research Not Related to Thesis. One to six hours.

MTE 599 Master's Thesis Research. One to twelve hours. Pass/fail.

MTE 622 Solidification Processes and Microstructures Three hours.
Prerequisite: MTE 519
This course will cover the fundamentals of microstructure formation and microstructure control during the solidification of alloys and composites.

MTE 643 Magnetic Recording. Three hours.
Prerequisite: ECE 341 or MTE 271.
Static magnetic fields; inductive head fields; playback process in recording; recording process; recording noise; and MR heads.

MTE 644 Optical Data Storage. Three hours.
Prerequisite: ECE 341 or MTE 271.
Characteristics of optical disk systems; read-only (CD-ROM) systems; write-once (WORM) disks; erasable disks; M-O recording materials; optical heads; laser diodes; focus and tracking servos; and signal channels.

MTE 655 Electron Microscopy of Materials. One to four hours.
Prerequisite: MTE 481 or permission of the instructor.
Topics include basic principles of operation of the transmission electron microscope, principles of electron diffraction, image interpretation, and various analytical electron-microscopy techniques as they apply to crystalline materials.

MTE 670 Scanning Electron Microscopy. Three hours
Theory, construction, and operation of the scanning electron microscope. Both imaging and x-ray spectroscopy are covered. Emphasis is placed on application and uses in metallurgical engineering and materials-related fields.

MTE 680 Advanced Phase Diagrams. Three hours.
Prerequisite: MTE 362 or permission of the instructor.
Advanced phase studies of binary, ternary, and more complex systems; experimental methods of construction and interpretation.

MTE 684 Fundamentals of Solid State Engineering. Three hours.
Prerequisite: Modern physics, physics with calculus, or by permission of the instructor.
Fundamentals of solid state physics and quantum mechanics are covered to explain the physical principles underlying the design and operation of semiconductor devices. The second part covers applications to semiconductor microdevices and nanodevices such as diodes, transistors, lasers, and photodetectors incorporating quantum structures.

MTE 691:692 Special Problems (Area). One to six hours.
Credit awarded is based on the amount of work undertaken.

MTE 693 Selected Topics (Area). One to six hours.
Topics of current research in thermodynamics of melts, phase equilibra, computer modeling of solidification, electrodynamics of molten metals, corrosion phenomena, microstructural evolution, and specialized alloy systems, nanomaterials, fuel cells, and composite materials.

MTE 694 Special Project. One to six hours.
Proposing, planning, executing, and presenting the results of an individual project.

MTE 695:696 Seminar. One hour.
Presentations on dissertation-related research or on items of current interest in materials and metallurgical engineering.

MTE 698 Research Not Related to Dissertation. One to six hours.

MTE 699 Doctoral Dissertation Research. Three to twelve hours. Pass/Fail.

Find out how to apply here - http://graduate.ua.edu/prospects/application/

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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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In recent years, biological research has become increasingly interdisciplinary, focusing heavily on mathematical modeling and on the analysis of system-wide quantitative information. Read more

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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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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The HKUST MSBA program aims to meet the increasing demand for business analytics professionals. It provides students with strong knowledge of business analytics by bringing together a wide range of knowledge in applied statistics, information management, optimization, and modelling. Read more
The HKUST MSBA program aims to meet the increasing demand for business analytics professionals. It provides students with strong knowledge of business analytics by bringing together a wide range of knowledge in applied statistics, information management, optimization, and modelling.

The program focuses on teaching students how to make good use of information and business analytics knowledge for building data-driven strategies, enhancing performance and facilitating evidence-based discussion for problem solving. It develops students’ business analytics competency and hands-on experience in solving real business problems in various areas such as finance, marketing, healthcare, etc.

Our expectation is that graduates from the program are able to integrate cross-disciplinary knowledge with analytics to manage complex data structures in a business environment; analyze real business problems using various business analytics tools and play leading roles in successful business strategy execution using analytics.

Curriculum

Students will acquire necessary analytics skills in the required courses and focus on their areas of interest in elective courses. Both full-time and part-time students are required to complete a total of 30 credits from required and elective courses to graduate.

Required Courses
-Big Data Analytics
-Business Analytics in R
-Business Modeling and Optimization
-Consumer Privacy Management in the Information Economy
-Data Analysis
-Introduction to Business Analytics
-Simulation for Risk and Operations Analysis
-Social Media and Network Analysis
-Visual Analytics for Business Decisions

Elective Courses
-Big Data Technologies
-Business Analytics Practicum
-Business Modeling with VBA
-Digital Marketing Strategy and Analytics
-Electronic Commerce and Web Analytics
-High Dimensional Statistics with Business Applications
-Operations Analytics
-Project Management
-Special Topics in Business Analytics

About Hkust Business School

Established in 1991, the School of Business and Management at the Hong Kong University of Science and Technology (HKUST Business School) is young, dynamic and very well respected for the quality of its programs and the impact of its research.

We are the first business school in the region to be awarded accreditation by both the US-based Association to Advance Collegiate Schools of Business (AACSB International) and the European Quality Improvement System (EQUIS). The degrees offered by the HKUST Business School are recognized worldwide.

We are recognized as “Asia’s youngest but most respected business school” (Financial Times). Our programs are highly regarded for their cutting edge design and delivery, and are consistently ranked among the very best in the world by international media.

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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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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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