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Master Data Science


The Polytechnic College Suriname University of Applied Sciences with a unique collaboration with Praxis Business School launched Master program in Data Science.…/

Enrollment is now open for the Second Cohort of our Master's Program in Data Science. Admissions open till the end of June 2024.​

Why choose this Master’s Program? Make the most of the unique features of the Master:
  • You will start programming, learning and applying data science methods from day 1 of the master’s. Out of the two years, you can do more than one year of coursework in collaboration with businesses providing real-life data challenges. This practical experience is extremely appreciated by future employers and will allow you to launch your career in a way that you can help the businesses to take right decision with your Data analytics expertise.

  • Study and work as part of a close-knit and interactive community of students, researchers and companies.

  • Graduate with a diploma awarded by both The Polytechnic College Suriname University of Applied Sciences and Praxis Business School.

Data Science program is a intersection of disciplines like Statistics & Machine Learning, Programming, Business Management & Communication. The full-time Post Graduate Program (PGP) in Data Science is designed to address all three in significant depth.

Technology Skills: an understanding of a wide range of tools like Python, R, Spark, Excel, SQL, SAS, Hadoop, MongoDB (NOSQL), Amazon AWS (EMR / EC2), QlikView and Tableau that are commonly used to extract, analyse and visualize data.

Statistical Modeling and Analytical Skills: knowledge of Statistics, Data Mining, Machine Learning and Deep Learning techniques and the ability to create predictive models.

Applying data science to business situations: a fair understanding of business functions like marketing, finance, human resources, operations and the application of Analytics in verticals like BFSI, retail, telecom, healthcare etc.

Communication and Visualization: the ability to tell an effective story through Data and Infographics.

Studie features:

Study duration

2 years


M.Tech in Data Science






640 hours online


Graduates with a minimum of 60% from any of the disciplines from recognized university – BE/, with Mathematics/statistics as one of the subjects.

Pre-College master’s program is intended for students who don’t have sufficient knowledge of statistics and mathematics.  We offer a 4 to 6 weeks of pre-master’s program. Contact our admission officers to see what the pre-master could look like for you depending on your background and experience.

Career prospects

As a graduate you have excellent career opportunities. You possess a deep scientific understanding grounded in practical experience from working on real-life cases. Together with a valuable professional network, you will be fully equipped to enter the job market with an ever-growing number of data science and AI-related vacancies. Not only in the Suriname but also worldwide.

Knowledge and skills Next to the knowledge in data engineering, data analytics, decision-making, business development, and legal and ethical disciplines, you will be explicitly trained in a set of essential professional skills, such as:

  • Creative thinking, communicating, presenting, negotiating, debating, interviewing, and pitching. You will be practicing these in the In Action courses with real-life data.
  • By engaging with the company stakeholders, you will learn to shape the problem definition and select and apply the methods that fit the problem – not vice versa.
  • In addition to the professional skills, you will be educated in academic skills, that will allow you to find and understand scientific articles, and do your own research in the core scientific disciplines covered by the program.

Endless opportunities

This ensures that career opportunities are endless. You can manage your own data science company, finding new markets and opportunities with data. Within an organization, you are the one who translates a variety of issues into technical data insights. You make sure this lands in the business, thereby improving its performance. Or you can work as a data consultant or analyst: from advising companies who want to know more about the purchasing behavior of their customers, to using big data supporting police crime detection work, to helping healthcare institutes.

Program Objective

The program is driven by the overarching purpose of creating resources that will play leadership roles in the tech and data-driven digital world. The specific objective of the Master’s Program in Data Science with ML and AI is to empower the learners to transition into the exciting world of Data Science, and everything about the program – the design, the delivery, the assessment methods – is aligned to achieve this objective.

Learning Outcomes

Students who have completed the Master’s Program in Data Science will be, through immersive learning, collaboration with peers, and hands-on-experience, be able to:

  • Apply quantitative modelling techniques to solve real-world business problems, interpret findings, and present results using data visualization techniques.
  • Obtain, clean, and transform data.
  • Employ cutting edge tools and technologies to analyse structured, semi-structured, and unstructured Big Data.
  • Demonstrate knowledge of statistical data analysis, machine learning, and deep learning techniques in data-driven decision making across multiple functions and industry verticals.
  • Recognize ethical issues related to data security, integrity, and privacy.
  • Work effectively in teams, demonstrate leadership and decision-making skills.

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Sandrina's Journey through Data Science

Sandrina Ramdhani B.Tech | Data Analist at Pensioenfonds Suriname 

Enthralled by the transformative blend of flexibility and depth in online learning within the Master in Data Science program at PTC, I’ve seamlessly integrated newfound skills into my current role as a Data Analyst. This program has not only equipped me with the expertise needed to excel in my profession but has also instilled in me a profound confidence to navigate the dynamic landscape of data science.

As I embark on the second semester of my Master in Data Science journey, I find myself filled with anticipation and excitement for the new challenges and opportunities that lie ahead. Building upon the strong foundation laid in the first semester, I am eager to delve deeper into specialized topics and further hone my skills in this dynamic field.

Exploring Specialized Topics

The second semester of the program promises to be an exhilarating journey as I explore specialized topics tailored to meet the demands of today’s data-driven industries. Modules such as Time Series Forecasting and Analytics in Retail & Marketing offer a deeper dive into niche areas of data science, providing me with invaluable insights and expertise that will be instrumental in my future career endeavors. These courses not only expand my knowledge base but also offer practical applications that I can immediately implement in real-world scenarios.

Advancing Technical Proficiency

As I progress through the program, I am excited to further advance my technical proficiency in key areas of data science. Courses such as Mathematics for Machine Learning and Multivariate Statistics & Econometrics will sharpen my analytical skills and enhance my ability to derive meaningful insights from complex datasets. Additionally, I hope that further my exploration of advanced topics in further terms like Deep Learning and Data Engineering & Model Deployment will equip me with the cutting-edge tools and methodologies needed to tackle the most challenging problems in the field.

Time leniency

One aspect of this program has been particularly beneficial is the leniency in scheduling. With 3 times a week online classes and recorded lectures, the program offers flexibility in timing, allowing students to manage their coursework around their busy schedules. This flexibility has been invaluable, especially for working professionals like myself, as it enables us to balance our academic pursuits with our professional and personal commitments effectively. By accommodating various schedules and time zones, the program ensures that all students have equal access to resources and opportunities, fostering an inclusive and supportive learning environment.

Bridging Data Science and Artificial Intelligence

One of the unique aspects of this program is its seamless integration of data science and artificial intelligence. By exploring topics such as Advance Machine Learning, students gain a comprehensive understanding of the intricate relationship between these two fields, preparing them to tackle complex challenges at the intersection of data science and AI.

With each passing semester, I am confident that I am not only gaining valuable knowledge and skills but also shaping a promising future in the dynamic field of data science. Armed with flexibility, resilience, and a passion for learning, I eagerly anticipate the challenges and triumphs that lie ahead on this transformative journey

Maak contact met de Program Manager

Virindra Jankie

Program Manager

Master Data Science

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