The Master of Business Administration (Otago MBA) degree is an intensive two phase programme. Phase One comprises ten months of on-campus study of core papers. This is followed by a highly flexible Phase Two of on-campus electives, international exchange or a business project. Phase Two can range from six to twelve months.
The programme takes on a strong global perspective. Together with the diversity of our classes and opportunities for international exchange to renowned universities worldwide, we prepare students for success in the highly competitive global economy. Our comprehensive MBA programme also goes well beyond the academic syllabus to include career development guidance, practical experience and networking activities.
Lecturers on the Otago MBA programme are drawn from three areas - the University, other reputable global business schools, and consultants or business practitioners. They are carefully selected for both academic excellence and strong practical experience in running successful businesses. The small class size ensures a large degree of personal mentoring and guidance from staff.
The style of learning is highly interactive, and participants learn as much from one another as from the course leader or facilitator. Students are assigned to teams, which reflect the diversity of professional and educational backgrounds, demographics and work style preferences. These teams work together on projects, presentations, and assignments to apply business knowledge learned in academic class in real live settings, as well as hone skills such as time management, conflict resolution and problem solving.
The course commences each year in early March. Student applications are processed as they are received on a rolling basis, and we will endeavour to complete the application process within a month. As class size is small and seats are limited, applicants are advised to submit their application early to secure their place.
International students are reminded to allow sufficient time to make travel arrangements and visa application if required. Also, the full time Otago MBA requires a minimum Graduate Management Admission Test (GMAT) score as part of the entry requirement and students need to plan for this if they have not already done so.
BMBA 502 Marketing
BMBA 503 Organisational Leadership
BMBA 504 Statistics and Decision Tools
BMBA 505 Economics
BMBA 506 Human Resource Management
BMBA 507 Accounting
BMBA 508 Investment and Global Financial Markets
BMBA 509 Strategic Planning for International Markets
BMBA 510 Leading Sustainable Enterprises
BMBA 511 Operational Excellence
BMBA 512 International Business
BMBA 513 Strategy Implementation
Note: One BMBA 500-level paper not listed in the schedule may be substituted for another BMBA 500-level paper, with the approval of the Director of Executive Programmes in Business..
BUSI 540 Professional Consulting Engagement
or a minimum of 60 points for elective papers taken at the University of Otago (grouped together as BMBA 550 MBA Elective Papers)
or 60 points from international exchange (the papers involved shall be grouped together as EXCH 000 Exchange Papers; on successful completion, a student will be eligible for ad eundem credit for BMBA 535 International Exchange Papers).
or 30 points from international exchange (the papers involved shall be grouped together as EXCH 000 Exchange Papers; on successful completion, a student will be eligible for ad eundem credit for BMBA 525 International Exchange Papers) together with BMBA 530 Business Project (30 points)
or 30 points from international exchange (the papers involved shall be grouped together as EXCH 000 Exchange Papers; on successful completion, a student will be eligible for ad eundem credit for BMBA 525 International Exchange Papers) together with a minimum of 30 points for elective papers taken at the University of Otago (grouped together as BMBA 560 MBA Elective Papers)*
or 60 points for a course of study, approved by the Pro-Vice-Chancellor (Commerce), at another tertiary institution (on successful completion, a student will be eligible for ad eundem credit for BMBA 550 MBA Elective Papers).
The programme of study consists of compulsory papers from Phase 1 (the core) together with a choice of a business project, or a selection from a list of elective papers, or papers from an approved international exchange partner. The core papers, the business project, and the elective papers are set out in the MBA Schedule. Papers to be taken through international exchange must be approved by the Director of Executive Programmes in Business. One BMBA 500-level paper not listed in the schedule may be substituted for another BMBA 500-level paper, with the approval of the Director of Executive Programmes in Business.
A candidate must normally pass all papers from Phase 1 before proceeding to Phase 2.
Note: A Candidate who enters the programme from the Diploma in Business Administration programme may be permitted to take one or more papers from Phase 2 before completing all papers in Phase 1.
A candidate with insufficient grounding in Accounting, Mathematics and the use of computers may be required either:
-To attend short programmes of instruction.
-To carry out prescribed reading and study..
-A formal examination may be required.
Before commencing the investigation undertaken for the purposes of the project report, a candidate shall seek the approval of the Director of Executive Programmes in Business for the topic, the supervisor(s) and the proposed course of the investigation.
A candidate may not present a project report which has previously been accepted for another degree. Phase 1 of the MBA programme may be undertaken on-campus or by distance learning.
- check at
Instructions in English:
In the 2016-2017 academic year, the University of Padova inaugurated a new curriculum of the Master Degree “Biotechnology applied to Food Security and Nutrition” (Second Cycle Degree) entitled “Biotechnologies for Food Science " to be entirely taught in English.
The “Biotechnologies for Food Science " Master degree (MSc) is an interdisciplinary and research-oriented Master of Science Programme and explores how to produce healthier and safer food following a cross-cutting, farm/field-to-fork approach. It is focused on the application of advanced biotechnologies in food production and safety and it is the ideal trait-d’union between the requests of consumers, of producers in the agro-food sector and research applied to production and food-safety.
The course has a strong component on cutting-edge methods, such as genomics, bioinformatics, proteomics, metabolomics, nanotechnologies, all in the context of animal and crop production as well as food quality and safety. Theoretical lessons are mixed with practical training, offering hands-on experience in advanced DNA, RNA, and protein analysis together with substantial lab sessions in bioinformatics. Lectures will deal with food production, hygiene and quality, molecular methods of agro-food analyses, effects of agro-biotech products on human beings and environments. Moreover environmental stresses, disease mechanisms, pathogens and pests will be treated as essential to understand how to protect crop and farm animals and how food might impact on human health: the lectures move across animal infectious disease, immunology, microbiology, plant pests and pathogens as well as abiotic stresses to show how biotechnology might help preventing disease and improve food production. As consumers are increasingly worried about the presence of contaminants in food and on the real origin of what they eat; the Programme includes a course in food toxicology and regulation, and one on traceability for food authentication.
Our Programme is based at the Agripolis campus, where are located four departments of the School of Agriculture and Veterinary Medicine of the University of Padova, all of which contribute to the MSc course, offering the best opportunities for a rich, cross-disciplinary experience in a highly qualified scientific environment.
This programme is open to Italian and foreign students from the EU and abroad, interested in learning and implementing effective value-added practices for the production of high-quality food products both in the EU and in international markets. English knowledge must be minimum at B2 level (CEFR). Applying students might possibly have a three-year Bachelor’s degree in a field connected with the Master’s curriculum. Good background in molecular biology, biochemistry, and microbiology is requested.
Biotechnologies for Food Science is a 2-year Master programme (120 ECTS, equivalent to a Master of Science). Requirements for graduation include courses and preparation and defense of the Master thesis. Students will be encouraged to spend a period of their studies abroad, through Erasmus+ or other local programmes and agreements. Financial support to meet part of the cost for thesis work is granted to best students.
Visit the MSc “Biotechnologies for Food Science” page on the Università di Padova web-site (http://www.unipd.it/en/biotecnologie-alimentazione) for more details.
Teaching takes place in an international environment and includes lectures and laboratory activities, practical exercises and seminars by experts; opportunities for intensive tutoring and for master thesis-related stages of at least six months duration will be available with outstanding companies in the sector of the food industry or with other relevant organisations in the private or public sphere. The Programme assists students to find suitable internship opportunities with qualified laboratories in Italy and abroad.
Examinations are written or oral and assess students’ participation also through reports, presentations, and group work.
During the first year of the programme the student will acquire knowledge on animal and crop genomics, focusing on the most advanced methods for high throughput genomic analysis (transcriptomics, genome-wide SNP analysis, epigenomics) and on the most recent approaches for selective breeding (genomic selection, genomic prediction). In parallel, the student will learn how bioinformatics tools might be applied to manage large sets of data, how biological data bases are organized and how to link different types of data. Extensive practical training in bioinformatics will be offered with various sessions in a dedicated lab. Food-borne pathogens and the positive role of microorganisms in food processes will be examined in an integrated microbiology course, while the molecular basis of pathology, host-response to infection, epidemiology, and diagnostics of transmissible diseases will form the basis of two courses. A course on biotechnology for crop production will introduce the molecular and physiological basis of crop production. Biotechnological approaches to improve crop yield, with particular attention to fruit production, and to reduce impact of abiotic stresses will examined. Molecular tools for food traceability and an intensive practical lab in DNA/RNA/protein analysis applied to food control will conclude the first year.
In the second year, the first semester have three courses. One will focus on novel technologies (proteomics, metabolomics, nanotechnology) and their application to food production. A second one will extend knowledge on plant biotechnology exploring advanced technologies for crop disease and pest management. A third one will deal with contaminants in food and food legislation. The second semester is completely dedicated to lab internship. It is possible to join a research lab in the campus or to have a working stage in the private sector.
link to the Campus descriptions:
The University of Padova, the Veneto Region and other organisations offer various scholarship schemes to support students. Below is a list of the funding opportunities that are most often used by international students in Padova.
You can find more information below and on our website here: http://www.unipd.it/en/studying-padova/funding-and-fees/scholarships
You can find more information on fee waivers here: http://www.unipd.it/en/fee-waivers
The Master of Science in Big Data Analytics for Business is a unique program that trains business professionals in the field of (online) marketing, finance, and operations.
Students are exposed to the leading-edge fundamentals in decision-making by extracting knowledge from Big Data, including social media data, customer web traffic data, Bloomberg’s financial data, and inventory process logs.
Students will learn to solve managerial problems by critically asking questions in the spirit of ‘What do we know?’ (Data driven) rather than ‘What do we think? (Gut feeling).
- Introduction of leading tools that convert data to knowledge
- Possibility to obtain business-relevant certificates
- Exposure to both academic and applied industry research
- Digital/Web Analyst
- Customer Analyst
- Data Scientist
- Credit Risk Analyst
This program is under the process of being accredited with the Université Catholique de Lille as diplôme universitaire and with the Conférence des Grandes Ecoles.
The Master of Science in Big Data Analytics for Business offers core modules in business, technology, and methodology as well as specialized modules in marketing, finance, and operations.
These modules will be covered over two semesters and the students will take their newfound knowledge and apply it in a professional environment during a 4 – 6 month internship.
Students acquire real-life experience through a 4 – 6 month internship in France, or anywhere in the world.
The objective is to provide an opportunity where MSc in Big Data Analytics for Business students learn how to approach assignments and working relationships in a professional environment. They can apply their newfound knowledge in real world situations while receiving guidance and feedback from managers and colleagues.
New contacts made during their internships help create their professional networks.
French language classes -
French language lessons are mandatory for non-Francophone international students. Francophone students may choose German, Italian, Chinese, or Spanish.
The MSc in Big Data and Analytics for Business is for students with a bachelor’s degree with a quantitative component or business administration interested in a new and expanding field.
Admission requirements -
The program is open to candidates with a bachelor’s degree from a recognized university with good academic performance and a good command of English.
Native English speakers or students who have had two years of courses taught in English are exempt. A GMAT score is optional, not mandatory.
No prior knowledge of French is needed; however French language classes are mandatory for non-French speakers as part of the program.
Application process -
The application process is based on students’ online application available at https://application.ieseg.fr/ and review of the required documents.
Rolling admission is offered from October 2017.
- Online application form
- Transcripts and diploma translated into English or French if necessary
- English proficiency test (IELTS 6.5 TOEFL IBT 85, TOEIC 800) if required
- CV / Resume
- Copy of passport
- 80€ application fee
- € 15,000 for domestic and international students
- International merit-based scholarships are available
Funding and scholarship-
IÉSEG has a merit-based International Scholarship Program with a tuition waiver of 15 to 50% per year. Selection is based on the applicant’s previous academic performance and overall application portfolio.
The scholarship application is automatic; students do not need to apply separately.
All international students are encouraged to check with Campus France and their own government to see if there are any scholarships available. For American students please check with Sallie Mae for private loan options.
The two-year master’s programme Statistical Science for the Life and Behavioural Sciences provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science.
The two-year master’s programme in Statistical Science provides you with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme consists of a core programme shared by all students, and specialisation specific courses, electives, an internship or research project and master’s thesis. You can specialise in either life and behavioural sciences, where the emphasis is on the application in multidisciplinary environments, or in data sciences where you focus more on data mining, pattern recognition and deep learning.
Read more about the Statistical Science for the Life and Behavioural Sciences programme.
Find more reasons to choose Statistical Science for the Life and Behavioural Sciencese at Leiden University.
The field of statistics, like other areas of applied mathematics, often attracts students who are interested in the analysis of patterns in data: developing, understanding, abstracting, and packaging analytical methods for general use in other subject areas. Statistics is also, by definition, an information science. Imaginative use of both computing power and new computing environments drives much current research - so an interest in computation and/or computer science can also be a start for a statistician. With the growing importance of data within our society, you’ll be highly in demand with a degree in Statistical Sciences.
Read more about the entry requirements for the Statistical Science programme.
This 1-year program provides the skills and mind-set required for success in international business. We draw on our sound understanding of business practices and cultures to give students the fundamental skills necessary to manage corporations in any international context.
For those with an academic background in business, the MIB will take their knowledge to a higher level, with a new perspective. For those without a background in business, the MIB will provide theoretical fundamentals in management, as well as providing opportunities to apply their newfound knowledge.
The MIB is accredited with the French National Association of Grandes Ecoles (La Conférence des Grandes Ecoles) and with the Catholic University of Lille.
- Condensed program in an international context
- Customized curriculum
- Interactive educational approach
- Product Manager
- Project Manager
- Business Consultant
Students have the opportunity to customize the program to meet their needs and interests. The program is made up of 90 ECTS credits to be completed in one year (3 terms). There are 10 Extensives, 4 Intensives, 9 Electives, French, and an internship, consulting project, or company research project.
Students can choose to study in Lille or Paris for the September intake. There is a second intake in January for the Lille campus.
French language lessons at every level are included in the program for international students. French is the mandatory choice for all non-French speaking students.
MIB students not only study the latest theories in their chosen field but they also undergo a real-life executive training period in a company of their choice. During the internship period, students will be able to connect the theories of management to hands-on experience and test the cross-cultural skills they will have developed at IÉSEG.
The MIB internship can be undertaken in France or abroad, from 4 to 6 months.
IÉSEG's Corporate Relations department organize regular meetings to keep students up to date on the latest search tools and strategies for finding internships. A dedicated professional supports students in their search. He/she is available for consultations on CV/resume and cover letter revision, as well as interview preparation to help them turn their strengths into practical skills to best prepare them for the global labor market.
Companies that we work with:
The MIB program caters to students who already hold a bachelor or master degree from a recognized school and want to study management in an international setting.
Rolling admission is based on student’s online application and review of the required documents.
€ 15,000 for domestic and international students.
International merit-based scholarships are available.
January intake dates will be posted shortly.
Online application form
CV / Resume
Transcripts and diploma translated into English or French if necessary
English proficiency test (IELTS 6.5, TOEFL IBT 85, TOEIC 800) for non-native English speakers
Copy of passport
80€ application fee
The choice to study abroad is not only an academic decision, but also a financial one. Students need to be aware of the various cost involved in pursuing a degree at IÉSEG.
Unlike some other countries where international students pay a much higher tuition than domestic students, there is NO difference between tuition for French and international students at IÉSEG.
Current tuition for the MIB program is 15,000 €.
Previous exchange students at IÉSEG, or students coming from one of IÉSEG’s international partner universities, automatically receive a 10% discount on tuition.
IÉSEG has a merit-based International Scholarship Program with a tuition waiver of 15 to 50% per year. Selection is based on the applicant’s previous academic performance and overall application portfolio. The scholarship application is automatic; students do not need to apply separately.
All international students are encouraged to check with Campus France and their own government to see if there are any scholarships available.
What do some of our former and current students think about the MIB ?
"I believe studying in one of the top ten Grande École in a program provided 100% in English, having course mates and professors from 14 different nationalities, living in an environment where I can practice conversing in French and appreciate the charm of the French way of life, is the perfect combination of a rewarding and personal enriching experience for me during my sabbatical year."
Jacqueline Chang, MIB Alumni
Kuala Lumpur, Malaysia
Banking Commission, International Chamber of Commerce (Paris)
"My Engineering background and prior work experience with Accenture, together with my dreams of pursuing an International career, led me to my decision to enroll in IÉSEG MIB. Now, when I work for the Global HQ’s of a Fortune 500 company, managing operations across 20+ countries, I could not ask for anything more! Every single moment and every penny I invested in IÉSEG was worth it! To me, IÉSEG is not just a school, brand, or culture, it is an Identity."
Vivek Raj, MIB Alumni
Reporting Manager of P&G Accountsand International Large Accounts
Sodexo Global Headquarters (Issy-les-Moulineaux, France)
"I believe that it is not the destination but the process, the journey, in reaching the destination that matters the most! MIB is, sincerely speaking; a cherry on the cake of my journey to become a successful individual and a professional! I consider this program one of the best grooming sessions I have had throughout my student life, as it personifies the need to do « beyond ». This course not only provides but demands us students to step in to pursue excellence. My intention to join this course accompanied the pure excitement of being one of the scholarship holders, being in another continent, another country with students from various nationalities."
Sameena N. Panali, MIB Alumni
Assistant Consultant in Business Development
Understanding all aspects of Human-Robot interaction: the programming that coordinates a robot’s actions with human action as well the human appreciation and trust in the robot.
At present, there are many sensors and actuators in every device – so they may become embedded in a physical reality. For robots that move around in a specific setting there is a pressing need for the development of proper methods of control and joint-action. The embedded, embodied nature of human cognition is an inspiration for this, and vice versa. Computational modelling of such tasks can give insight into the nature of human mental processing. In the Master’s specialisation in Robot Cognition you’ll learn all about the sensors, actuators and the computational modelling that connects them.
Making sense of sensor data – developing artificial perception – is no trivial task. The perception, recognition and even appreciation of sound stimuli for speech and music (i.e. auditory scene analysis) require modelling and representation at many levels and the same holds for visual object recognition and computer vision. In this area, vocal and facial expression recognition (recognition of emotion from voices and faces) is a rapidly growing application area. In the area of action and motor planning, sensorimotor integration and action, there are strong links with research at the world-renowned Donders Centre for Cognition.
At Radboud University we also look beyond the technical side of creating robots that can move, talk and interpret emotions as humans do. We believe that a robot needs to do more than simply function to its best ability. A robot that humans distrust will fail even if it is well programmed. Culture also plays a role in this; people in Japan are more open to the possibilities of robots than in, for example, the Netherlands. We will teach you how to evaluate humans’ attitudes towards a robot in order to use that information to create robots that will be accepted and trusted and therefore perform even better.
See the website http://www.ru.nl/masters/ai/robot
- We offer a great mix of technical and social aspects of robot cognition.
- This programme focuses on programming robot behaviours and evaluating them rather than building the robots themselves. We teach you to programme robots that will be used in close contact with human beings, for example in healthcare and education, rather than in industry.
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.
- Together with the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.
- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.
- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.
The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You could also cooperate with the Behavioural Science Institute and work in its Virtual Reality Laboratory, which can be used to study social interaction between humans and avatars.
An example of a possible thesis subject:
- Engaging human-robot interactions in healthcare for children and/or the elderly
Social robots are often deployed with 'special' user groups such as children and elderly people. Developing and evaluating robot behaviours for these user groups is a challenge as a proper understanding of their cognitive and social abilities is needed. Depending on the task, children for example need to be engaged and encouraged in a different way than adults do. What are effective robot behaviours and strategies to engage children and/or elderly people? How can these robot behaviours be evaluated in a proper way?
Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Philips, Siemens, Honda, Mercedes, Google. Some students have even gone on to start their own companies.
Examples of jobs that a graduate of the specialisation in Robot Cognition could get:
- PhD Researcher on Cognitive-Affective Modelling for Social Robots
- PhD Researcher on Automatic analysis of human group behaviour in the presence of robots
- PhD Researcher on Automatic analysis of affective quality of conversations in human-robot interaction
- Advisor and innovation manager in the healthcare industry
- Social robotics and affective computing for robots expressing emotions
- Developer of control algorithms for using optic flow in drones
- Advisor for start-up company on developing new uses for tactile displays
- Team member in design of emotion recognition and training for autistic children
Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Finland and the United States.
See the website http://www.ru.nl/masters/ai/robot