Asian Institute of Management (AIM) & School of Innovation, Technology and Entrepreneurship (SITE)
Asian Institute of Management (AIM) is the Asian pioneer in management education and an international graduate school with a vision to inspire and support a uniquely Asian approach to business and societal management that respects the social and financial impact of its decisions and actions.
AIM is the first school in Southeast Asia to receive accreditation from the US-based Association to Advance Collegiate Schools of Business (AACSB), globally recognized as having the world's highest standards.
In line with AIM's vision to develop managers, entrepreneurs, and leaders who can deliver meaningful and sustainable growth in Asian businesses and societies, the School of Innovation, Technology, and Entrepreneurship or SITE is envisioned to be the hub in Asia for nurturing future-ready leaders who are comfortable with uncertainty and confident and competent in handling issues in a rapidly changing environment.
By collocating innovators, data scientists, technologists, and entrepreneurs, SITE is positioned to be a catalyst for generating impact, powering innovation, and creating value in the Asian context. The school has three programs: the MS Data Science, the MS Innovation and Business, and the Master in Entrepreneurship. They are purposely linked because linkage between technology, innovation, and entrepreneurial spirit is essential to thrive in this era of digitization, or the so-called "Industry 4.0"
Master of Science in Data Science (MSDS)
A four-term, 14-month full-time program which includes 10-core data science modules and 15 business and or management modules, with 2 electives and 1 capstone project that requires students to deal with real-world problems.
The curriculum is academically rigorous and concentrates on the techniques, models and technologies used in the field of advanced analytics. MSDS graduates will be capable of formulating the right questions and identifying the correct, innovative, and data-driven approaches to address highly diverse issues.
JANUARY - APRIL 2019
- Network Science
- Data Science Elective
- Capstone Project
- Strategic Management
What kind of time commitment does the course require?
Students will spend 3 – 6 hours per class inside the classroom. The MSDS program is divided into four terms.
- Term 1: March – April 2019
- Term 2: May – August 2019
- Term 3: September – December 2019
- Term 4: January – April 2020
How much is the tuition fee?
Do I have to pay the entire tuition fee before classes start?
Tuition can be paid either in full or four installments, one per semester. However, students should pay a reservation fee within one month of receiving an acceptance letter, which will be deducted from the total fee. For details, call +63 2 892.4011 ext. 3004, or e-mail firstname.lastname@example.org.
Am I qualified to take up a Master of Science in Data Science?
Qualifications to join the MSDS program
- Graduate Management Admission Test (GMAT), Graduate Record Examinations (GRE) general test, or the AIM Data Science qualifying exam
- Undergraduate degree with minimum course requirements and/or work experience
- Proficiency in oral and written English
Minimum course requirements for new graduates
- Basic Calculus
- Linear Algebra
- At least one of the following:
- Computer Programming
- Probability and Statistics
- Advanced Physics
- Advanced Mathematics
- Any subject that requires advanced quantitative and mathematical rigor
Minimum requirements for those with work experience (at least two years in any of the following)
- Technical work experience, preferably in data analysis and/or data engineering
- Work experience with SAS, Matlab / Octave, Python, C/C++, R, BI tools, and/or other data science/analytics tools
Do I need to do anything to prepare for the MSDS program?
During the first term, students will jump right into programming and mathematics.
For the Mathematics for Data Science course, students are strongly advised to review their Basic Calculus and Linear Algebra courses. We recommended that students prepare further by visiting the Khan Academy website for topics on vectors and spaces, matrix transformations, derivative introduction, basic differentiation, product, quotient, and chain rules, and derivative applications.
For the Programming for Data Science course, we encourage students who need to refresh their knowledge or who do not have any programming background to visit the Codeacademy website for free tutorials.
What thesis do I need to produce?
The MSDS capstone project will be driven by real-world problems from a local industry or government agency. To ensure that high-quality work is delivered to industry or government “clients,” the Data Science core faculty will closely mentor students through the resolution of these data-driven problems.
Outputs can vary from technical reports to deployable interactive applications or software.
Aside from the capstone project, students will have their job-ready portfolios published on GitHub, which they can show potential employers at the end of the program.
What do I need to submit to apply for the MSDS program?
- Complete online application form
- Curriculum vitae
- AIM Admissions Test for Data Science, GMAT, or GRE Official Score Report
- Transcript of Academic Records
- Professional recommendation (If self-employed, a Certificate of Business Registration instead)
- Any government issued ID
Qualified applicants will be invited for an interview with the faculty on a mutually convenient date.
The Master of Science in Data Science (MSDS) program is a 14-month, full-time degree course. It is designed for students and professionals who are quantitatively and analytically equipped to be ranked among the world’s leading data scientists.
AT THE END OF THE PROGRAM, STUDENTS ARE EXPECTED TO
- Come Up With the Right Questions: Know how to solve data-driven problems and build models; equally important: help identify the right questions by working with domain and field experts.
- Communicate Effectively: Present and explain data-driven results and strategies in a manner which clients can easily grasp to help them in decision-making.
- Generate Business Value: Have the knack for identifying business value, rather than being too focused on building complex models.
- Immediately Apply Learning: Graduate with job-ready portfolios to showcase all the skills developed during the program.
This school offers programs in:
Last updated September 27, 2018