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SUMMER PROGRAMS

During Monster University’s Summer Quarter, students from India and around the globe are invited to spend eight or nine weeks living and learning in the heart of Mumbai. You will have the opportunity to earn credit and a Mumbai University transcript at one of the most competitive universities in the world. Choose from more than 170 courses offered by 40 departments within the schools of Humanities and Sciences, Earth Sciences, and Engineering. Summer courses feature a smaller class size, accessible instructors, and a diverse student body with students from over 30 different countries

SESSION A

MAY 28-JUNE 29, 2018

SESSION B

JUNE 2- AUGUST 3, 2018

Post graduate Application Form
Post graduate Application Form
Jul 15, 2018, 11:40 PM
Location is TBD

Program Requirements

 

Admission is a selective process, and applications are reviewed in accordance to the Application Deadlines listed in the Admissions section. To be eligible to apply, students must:

  • Be at least 18 years of age by the start of the program (June 23, 2018).

  • Have graduated from high school, secondary school, or an equivalent.

  • Have successfully completed at least one term of college or university courses following graduation from high school prior to applying. (Students who have already graduated from college or university are also eligible but will be considered a visiting graduate student.)

  • INTERNATIONAL STUDENTS: Be able to verify fluency in the English language, using one of the methods described in the English Language Proficiency

  • section on the International Students page.

In addition to submitting an online Summer Session application, students must upload an unofficial transcript for all colleges or universities attended, and compose a short personal statement in response to a specific question. International students may be required to supply a TOEFL, IELTS, or Cambridge Exam Score. 

 

COURSES

MACHINE
LEARNING

Machine learning is the science of getting computers to act without being explicitly programmed

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.

STRATEGY

In this course you will learn how organizations create, capture, and maintain value, and how it is fundamental for sustainable competitive advantage. 

BRANDING

The aim of the course is to change the conception of brands as being an organisation's visual identityand image ) to an experience along "moments-that-matter" along the customer journey 

DESIGN

The goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. 

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