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Master of Analytics and Visualisation

Master's Degree Programme
(Postgraduate)

Become competent in data analytics, visualisation, and automation with the MAVI programme, designed for working professionals and aspiring data experts to succeed in today’s data-centric organizations.

Master of Analytics and Visualisation


Overview

Meet the Head of Programme at our online dialogue session via Zoom and have your questions answered!

• Session-SBIZ-KG2: Monday, 22 April 2024, 8.00pm - 9.00pm

[ Find out more and register now! ]


In today’s data-centric organizations, executives need to possess knowledge and skills in data technologies to make informed decisions. The Master in Analytics and Visualisation (MAVI) programme meets this critical need by offering comprehensive training for working professionals and aspiring data analysts, business analysts, and managers in various data-driven roles. The programme covers essential areas such as data visualisation, data management, automation, and decision analytics to equip students with the competencies needed to succeed in today's data-rich business landscape.

In the MAVI programme, you will learn to use a range of cutting-edge computational tools for analytics, including R, Python, MySQL, and SPSS. You will also gain expertise in open-source automation tools such as UiPath and enterprise-grade platforms for workflow automation. You will develop the flexibility to use diverse tools to complete tasks within an analytics workflow, from visualisation and wrangling to machine learning. Additionally, you will learn to leverage robotic process automation (RPA) and enterprise workflow automation tools to streamline analytical tasks, such as data cleaning, data integration, and reporting.

To accommodate busy professionals, the MAVI programme offers a hybrid learning mode, allowing you to attend face-to-face courses on-site or remotely via synchronous online classes. The programme also provides a range of learning activities, including taught courses, an applied project, and an elective internship. Through the applied project, you will receive guidance from industry practitioners and academics in project mentoring sessions, attend seminars in machine learning and computing, and participate in activities to prepare you for a data-related role. Through the internship, you will have the opportunity to gain relevant experience and apply your newly acquired knowledge in an industrial setting.

The MAVI programme is dedicated to developing the skills necessary to be competent practitioners in data analytics, visualisation, and automation. You will gain insights into how to translate and address business problems using data analytical methods, preparing you for a successful career in data-driven organisations.

Accelerated and Regular Tracks

The MAVI programme offers both accelerated and regular tracks. Students on the accelerated track will complete the programme in 1 to 1.5 years. Students on the regular track will complete the programme in 1.5 to 4 years. Please see Admissions Requirements for details.

Unique Features of the Programme

  • The programme is designed with a strong industry focus, providing you with practical skills and knowledge that can be immediately applied in a data-related work environment.
  • This programme is delivered in a flexible hybrid mode, allowing you to attend face-to-face courses on-site or remotely via synchronous online classes.
  • You will have the unique opportunity to enrich your practical experience through an internship, which is offered as an elective.
  • You will learn how to use a range of leading-edge tools in data analytics such as R, Python, MySQL, and SPSS, as well as open-source automation tools like UiPath and enterprise-grade platforms for workflow automation.
  • You will become competent in completing various tasks in an analytics workflow, from data visualisation, data wrangling and machine learning, and gain valuable skills in translating business problems into actionable tasks that can be addressed with data analytics methods.
  • As part of the programme, you will have the opportunity to complete an applied project in a structured learning environment, closely guided by an industry or academic mentor, to help prepare you for a data-related role in the industry.
  • The courses are designed to be self-contained, and no prior knowledge of analytics or programming is assumed.

prog_sbiz_gdav_ANL555 at Workato
Discovering the latest best practices in data integration at
Workato Singapore in ANL555 Data Integration for Enterprise Automation



Admission Requirements

Refer to general admission criteria for graduate programmes.

All students will be assessed for their suitability for the programme and the respective tracks they have applied to during the admissions interview.

Applicants will be required to submit a CV detailing their relevant experience (education, training and/or work). Applicants are also encouraged (not mandated) to include the contact information (email address and/or phone number) of at least one referee.

Financial Assistance

The University offers course fee concession for selected graduate programmes. Please click here for more details.

Programme Structure

Students enrolled in the Master in Analytics and Visualisation are required to successfully complete 60 credit units (cu) of coursework and maintain a minimum cumulative grade point average (CGPA) of 3.0 to fulfil the requirements of this postgraduate degree. The MAVI offers both accelerated and regular tracks.

Regular Track

Students on the regular MAVI track are expected to take 15cu to 20cu per semester to complete the programme in 1.5 – 2 years, with a maximum candidature period of four (4) years.


Accelerated Track

Students on the accelerated track are expected to take 60cu over two semesters to complete the programme within one year. A 6-month extension may be granted on a case-by-case basis, with a maximum candidature period extended to one and a half (1.5) years.

International students

  • International students residing overseas who wish to attend the programme physically in Singapore must enroll in the one- (1) year accelerated track. This option requires students to obtain a valid student visa to physically attend the programme.
  • International students residing overseas who wish to attend the entire programme remotely (i.e. outside of Singapore) may enroll in the one- (1) year accelerated track or two- (2) year regular track. It is important to note that a switch to in-person attendance is not an option for international students who choose to complete the entire programme remotely at enrolment.

Singapore citizens, permanent residents and residents of Singapore (e.g. Employment Pass holders)

  • Singapore citizens, permanent residents and legal residents of Singapore may enroll in either the 1-year accelerated track or the 2-year regular programme track.

Study Progression Outline

To graduate with the Master of Analytics and Visualisation, students are required to complete 60cu of courses and maintain a minimum cumulative grade point average (CGPA) of 3.0.

The MAVI programme may be completed with or without internship. A summary of the two pathways is described in table below:

prog_sbiz_MAVI_Internship_FC_FS22Mar


Stackability

The Graduate Certificate in Analytics and Visualisation (GCAV) and the Graduate Diploma in Analytics and Visualisation (GDAV) are stackable towards the MAVI. Progression towards the MAVI from the GCAV is shown in Figure 1 below.

prog_sbiz_MAVI_FC_FS22Mar


In the MAVI programme, you will gain essential skills to connect business, data, and IT, as well as to work with data and develop visualisations with deep business insights. The programme's focused on practical applications is suitable for a broad range of individuals across various industries, management staff in organisations dealing with large amounts of data, those looking for career advancements in data-related roles or already working in data-related positions seeking to enhance their data skills. With its hybrid delivery mode, the programme offers flexibility for busy professionals to choose between studying onsite or remotely.

Graduates of the programme will be well-positioned for careers in data-driven industries and organizations, including roles such as data analysts, business intelligence analysts, analytics and automation solutions architects, and in other roles requiring proficiency in data management and data analysis. The skills gained from the programme are applicable in diverse industries, including marketing, healthcare, finance, retail, and consulting.

Ken Ng
Ken Ng teaches ANL555 Data Integration for Enterprise Automation at the Master of Analytics and Visualisation programme. As Director of Solutions Consulting, Ken leads Workato’s Solutions Consulting team in Asia-Pacific and Japan to provide recommendations and implement solutions to help enterprises automate and integrate their workflows at scale. Ken has nearly two decades of experience in the technology sector, where he has helped customers adopt modern API-led and cloud-native architecture to transform digitally. Prior to Workato, Ken was Director and Head of Solutions Engineering at Mulesoft, Asia. Ken has working experience in solutions engineering at Google and Oracle.

Ken Ng
Director of Solutions Consulting
Workato





  1. How many intakes are there in a year for the MAVI?
    There are two intakes per year that take place in January and July respectively.

  2. How long does it take to complete the MAVI?
    The MAVI will take a minimum of one (1) to 1.5 years to complete under the accelerated track and 1.5 to a maximum of four (4) years under the regular track.

  3. When are the lessons scheduled?
    Lessons will be scheduled in the evenings from 7.00-10.00pm during the semester. The lessons will be delivered in the hybrid format. They will be conducted in-person on campus and cast virtually at the time same for students taking them remotely.

  4. How many courses do students take in each semester?
    Depending on the track chosen, students take between 15 and 20 cu of courses per semester if they are enrolled in the regular track, or 25 to 30cu if they are enrolled in the accelerated track.

  5. What are the assessment components in each course?

    The assessment strategy is based on a combination of continuous assessments (CA) and end-of-course assessments (ECA). CA may involve Pre-course Quiz (PCOQ), classroom participation, discussion board and tutor-marked assignment (TMA) or group-based assignment (GBA).

  6. Are there any attendance requirements?
    Attendance is compulsory.

  7. Can I apply for course exemption and recognition?
    Credit recognition may be granted to applicants for courses completed in SUSS or in approved institutions or organisations which are, or deemed to be, offering relevant graduate-level courses. Credit recognition shall follow SUSS's policy.

  8. If I am an international student who wants to come to Singapore, do I need to apply for visa to come to Singapore for the seminars/course or internship?
    The university will provide the necessary information to facilitate the application of student pass. For more information, please click here.

  9. What does the applied project involve?
    ANL588 Applied Project is a project-based course where students will complete an analytics or automation project under closed supervision of an industry or academic mentor. The course focuses on preparing students for the job market, which consists of project mentoring sessions, seminars on machine learning and computing, and activities for job preparation.

  10. What happens if I do not complete the graduate programmes (e.g. Graduate Certificate, Graduate Diploma, Master) within the candidature period? Can I apply to take the remaining courses via CET pathway?
    Students who have not completed their graduate programmes within the stipulated candidature period will not be eligible for the award of the qualification for such graduate programmes. Such students however may apply to take, via the CET pathway, the remaining courses which they did not complete under their graduate programmes as part of their personal learning and development . Such application will be subjected to the CET admission requirement. However, as such students have exceeded the candidature period for their graduate programmes, they will not be awarded the qualification for such graduate programmes even after taking and completing the remaining courses via the CET pathway (“Condition”).

    PLEASE NOTE THAT THIS COURSE, IS ONE OF THE COURSES UNDER A GRADUATE PROGRAMME. THEREFORE, APPLICANTS FOR THIS COURSE ARE SUBJECT TO THE FOREGOING CONDITION. BY SUBMITTING AN APPLICATION FOR THIS COURSE, THE APPLICANT AGREES TO BE SUBJECT TO THE FOREGOING CONDITION.
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