The 1 year full time MSc course will be stimulating and interactive, making use of lectures, self-learning, workshops and hands-on projects. The project work we have imbedded within the course has been chosen and developed based on real-world scenarios across a range of industry and government
The 1 year full time MSc course will be stimulating and interactive, making use of lectures, self-learning, workshops and hands-on projects. The project work we have imbedded within the course has been chosen and developed based on real-world scenarios across a range of industry and government sectors and is specifically designed to: :
Provide an essential link between your theoretical learning and real-world challenges
Create an environment where you decide the methods and tools best suited to the challenge based on what you have learnt
Recreate some of the challenges facing industry and Government today and those very similar to what you will encounter in the workplace as a Data Scientist
Be adaptable to reflect new methods / tools and scenarios in this fast-developing discipline
Be able upon completion of the projects to reference your experience in working with such challenges
Course Delivery
This programme is available in full and part time modes, and will take 12 months to complete. Students will attend 3 semesters of academic study, and are expected to complete between 30 credits to 45 credits each semester. Full-time students will attend classes 5 days a week on weekdays, while part-time students will attend classes 2-3 times a week on weekdays/weekends.
Course Availability
Intakes for the programme are available 3 times a year. All applications should be submitted to ERCI no later than 1 month before the commencement date.
Assessment Framework
Courses are assessed by a combination of coursework, practical assignments and examinations. Formative assessments will also be included, as well as self- and peer-assessment and a research project.
Entry Requirements
An honours degree at 2:2 or higher or
A 2:2 or higher in an appropriate course with a B grade in Maths at A level or equivalent
Achieve a GPA of 2.75/4.0 or 3.4/5.0 or equivalent
*Other qualifications and working experience will be assessed by the University on a case by case basis.
Language Proficiency
IELTS 6.5 (with none of the four components lower than 5.5) or equivalent
Remarks
Applicants should be at least 20 years of age at the time of registration.
IELTS 6.5 (with none of the four components lower than 5.5) or equivalent
Applicants should be at least 20 years of age at the time of registration.
Graduation Requirements
Students must successfully complete, or be credited with, at least 180 credits within the stipulated period of study as set by the University, either via module exemptions or completion of requisite modules.
Course Fees
For a full listing of course fees and other charges, please select one of the following:
Fees Payable for Local Applicants
Fees Payable for International Applicants
Established in 2003, ERC Institute (ERCI) has gained significant recognition as an Institute that truly cares about our students’ education. We aim to equip students with the most relevant knowledge and applicable skills, and seek to help each student achieve his/her highest potential.
ERCI has strived to create an environment that encourages our students to be critical thinkers, innovative problem solvers and implementers of robust ideas by riding on the next wave of future business trends and technological developments. Our list of successful alumni is a proven testimonial to our Institute’s reputation.
As an education provider, we have pioneered the concept of an education ecosystem, where both life-skills and academic knowledge play equally important roles so that our students can create a positive impact on the commercial world and their communities.
We have also included mentorship and facilitation as key components of student engagement with interactive-participative learning to encourage innovative design-thinking outcomes.
ERCI believes strongly in encouraging entrepreneurship and provides entrepreneurial platforms for all our students (and alumni) to incubate business ideas. Should our students wish to challenge themselves as entrepreneurs,
we have a business start-up ecosystem to expose our students to networking opportunities, co-office sharing spaces, business mentorships and potential investment initiatives in a regional context.
We have taken a revolutionary spirit towards learning in business education and we are always looking to encourage each other to pursue unconventional lines of thinking, in order to help our students create a positive future.
We are constantly improving our teaching methodologies, service standards and curriculum designs to offer value innovations for our students, regardless of nationality and cultural differences.
Mission
We strive to provide education with a difference by offering our students:
Access to globally focused high quality education partners
Extracurricular activity sponsorship, lifelong learning opportunities, and career management
Socially impactful outreach initiatives
Vision
To be a premier Asian Institute known for collaborations with high quality global education partners offering industry relevant courses utilizing quality teaching methods.
Values and Culture
We believe that by creating an environment whereby honesty, respect, and responsibility are part of the culture, we are best positioned to embrace and enable our core values of Professional Excellence, Results and Customer Focus.
Professional Excellence – Effective systems and procedures and staff development are fundamental in creating an ecosystem of learning.
Results- We believe in saying what we do and doing what we say. Our goals and objectives can only be achieved through employee empowerment and by selecting collaborative education partners.
Customer Focus – Our commitment to successful learning outcomes for our students starts with a positive learning environment.
The Master of Science in Data Science and Machine Learning (DSML) is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science. It is jointly offered by the Faculty of Science’s Department of Mathematics and Department of Statistics and Data...
The Master of Science in Data Science and Machine Learning (DSML) is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science.
This hybrid program combines faculty resources of a Top Business School and a Top Engineering School, in Paris and Singapore, to provide a unique and innovative 2-year program (M1+M2) or 1-year program (M2 only), depending on your previous degree and background.
Data scientists use a range of computational and statistical techniques to unlock insight from data and solve complex problems. This emerging profession sits at the cutting-edge of computer science and graduates are increasingly in demand from industry.
Data is ubiquitous in government and in industry sectors including banking, insurance, healthcare, telecommunications, manufacturing, and retail.
© 2024 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy