Data Science and Analytics Courses Online

Advance your data skills in breakthrough technologies and contribute to significant decision-making with online Data Science programs through upGrad. Designed for Singapore-based professionals, these courses from top universities help you master data science for career growth, job switches, and to create business impact in today’s evolving market.

100% Online with AI-Powered Learning Platform
Industry-Relevant Curriculum
Networking with Global Business Alumni
Hands-On Projects with Real Business Cases
Career Support & 1:1 Mentorship

Fully Online Format
10M+ Learners
100+ Countries Represented
87% Course Completion
20M+ Learning hours/year
80+ University Partners

Upskill with Our Top Natch Programs

Data Science and Analytics

Online Master of Science in Data Science from Liverpool John Moores University

2 Variants for Each Project

Liverpool John Moores University

100+ Programming & Generative AI Tools

Master of Science in Data Science

Master's
18 Months
Python Bootcamp + Advanced Data Science Modules

View Program

Online Executive Diploma in Data Science and AI from IIIT Bangalore

Designed for Working Professionals

IIIT Bangalore

India’s #1 Technical University (Private)

Executive Diploma in Data Science and AI

Diploma
12 Months
10+ Years of Excellence in DS & AI Education

View Program

Online Executive Post Graduate Certificate Programme in Data Science & AI from IIITB from IIIT Bangalore

WES-Recognized, IIITB Credentials

IIIT Bangalore

300+ Hours of Learning Content

Executive Post Graduate Certificate Programme in Data Science & AI from IIITB

Certification
6 Months
5 Specializations (with Generative AI Modules)

View Program

Online Data Science and Analytics Courses in Singapore: Key Details at a Glance

1. Data Science and Analytics Certification Programs in Singapore - A Quick Overview

Singapore's digital economy is rapidly expanding, contributing significantly to the country’s GDP and growing nearly twice as fast as the rest of the economy. According to the Ministry of Manpower’s (MOM) Labour Force report, the technology sector in Singapore remains strong, with a growing demand for tech jobs. By 2025, Singapore is likely to need as many as 1.2 million additional digitally skilled workers.

Furthermore, the size of Singapore’s machine learning and AI markets are also poised for unprecedented growth, likely reaching US$472.17 million and US$1.23 billion respectively by 2025. These statistics make data science a sought-after career option and data-related professionals the most desirable ones in Singapore.

When it comes to choosing the best data science and data analytics programs, finding the right course to fit your goals and requirements becomes challenging. upGrad’s online data science programs in Singapore feature the in-demand skills and technologies to help you start or advance your career in this ever-demanding field.

Why Choose Data Science and Analytics as a Career in Singapore?

The importance of data is growing, and so is the demand for data scientists and other data-science professionals. These professionals encompass a wide range of roles, including data analysts, computer scientists, database and software programmers, among others. Earning a degree or a certification in data science deepens your expertise in the field, while positioning you as a valuable asset in one of the most cutting-edge domains today.

Data science and analytics undoubtedly have become the most popular fields for graduates, mainly due to the following reasons:

Reason	How it influences
Increased Demand	Singapore has witnessed a rise in demand for data-science professionals across industries.
Lucrative Compensation	Data science professionals can earn competitive pay even at entry level, with high growth potential.
Diverse Career Opportunities	They can explore diverse roles in AI, business intelligence, machine learning, and big data analytics.
Future-Proof Career	With AI and automation evolving, data skills are here to stay.
Upskilling Opportunities	Numerous online and regular programs make upskilling and reskilling easy to access.

Who Should Consider Data Science & Analytics Courses in Singapore?

The data science market in Singapore is experiencing a strong, positive trend, driven by a huge demand for professionals, mainly due to Singapore’s commitment to becoming a leader in the digital economy. Considering the strong growth, investing in a career in data science is a smart move.

Consider a Data Science course if you are:

Fresh Graduates: You have completed bachelor’s degree and are seeking entry into the data science field.
Looking to Switch Careers: Non-tech professionals willing to switch careers to transition into data science and analytics.
Working Professionals across Sectors: Professionals across sectors looking to enhance their job positions by acquiring data-driven skills and knowledge.
Mid Level Professionals: Individuals aspiring to lead data-driven decision-making in senior leadership positions.
Aspiring Data Scientists: Data science aspirants seeking to build a career in this field.
Those With Analytical Mindsets: Anyone with an analytical mindset and an aptitude for statistics and maths.

Data Science and Analytics Eligibility & Admission Criteria

Meeting the right eligibility criteria is crucial for enrolling in a top data science program in Singapore. Depending on the institution or university, the specific eligibility requirements may vary. However, general eligibility for data science master’s courses typically includes:

A bachelor's degree with 50% marks (preferably in mathematics, statistics, computer science, engineering, or related disciplines).
An updated resume showcasing career achievements.
A statement of purpose (SOP) outlining your goals.
Letters of recommendation (LORs) are required in some institutions.
Proof of English proficiency (IELTS/TOEFL if required).

Market Demand for Data-Driven Decision-Making Courses in Singapore

The increasing demand for data-driven decision-making has led to an alarming need for data science and data analytics professionals. Companies are increasingly seeking employees with skills to drive informed, data-based decision-making to seize market opportunities in Singapore. A master of data science course helps learners acquire the knowledge to assist them in making data-driven business decisions.

Here are the key trends supporting the huge market demand for data-driven decision-making:

Factor	Details
Government Support	Various government initiatives, such as SkillsFuture and AI Apprenticeship Programme (AIAP), boost individual’s interests and draw graduates towards the field.
Consistent Growth in Demand	Data roles in Singapore are expected to grow, driven by Smart Nation and digital transformation efforts.
Workforce Shortages	A shortage of experienced data-science and analytics talent as reported by several firms, underscores the need for upskilling and hiring.
Rewarding Career and Compensation	With rewarding career and salary growth options, even at the entry level, excites aspirants to join the domain.
Skills in Demand	Employers these days typically seek proficiency in SQL, Python, data visualisation, business framing, and domain knowledge.

Top Data Science Companies in Singapore

Top Global Companies:

Google Singapore
Amazon Web Services (AWS)
Microsoft Singapore
IBM Singapore
Accenture Singapore

Top Regional Companies/Startups in Singapore:

Grab
Lynx Analytics
Crayon Data
Aureus Analytics
DBS Bank
Tookitaki
OCBC Bank
Nugit

Career Opportunities and Data Science Jobs in Singapore

The fast-growing digital economy of Singapore has created a strong demand for skilled professionals across a wide range of industries for the best data science jobs. The table below represents the career opportunities acquired after enrolling and completing a data science course:

Job Roles	Responsibility
Data Architect	These IT professionals use their computer and design skills to review and analyse how an organisation stores and manages its data.
Data Analyst	The responsibilities of a data analyst revolve around collecting, processing, and analysing data to provide data-based insights for businesses
Data Engineer	Data Engineers build and maintain data management systems, such as databases or data pipelines, to ensure seamless access and processing of real-time data.
Data Scientist	Data scientists collect and analyse large datasets to uncover insights and create solutions that support organisational goals.
ML Engineer	Analyse and improve data science models by using the right machine learning tools and algorithms.

Skill Sets Required to Succeed in the Data Science and Analytics Field

Data science and analytics are ever-evolving fields, and professionals require robust technical expertise and analytical thinking to thrive in these areas. Among other things, strong problem-solving, data interpretation, and programming skills are needed to succeed in this growing field.

Strong understanding of organising and working with data.
Skills to apply categorisation, regression models, and other data analysis techniques.
Familiarity with supervised and unsupervised learning methods.
Knowledge of Optimise, Integrate, and Statistics, and other SciPy tools for scientific and technical tasks.
Experience with NumPy and Scikit tools to learn mathematical and machine learning computations.
Understanding the components and tools within the Hadoop ecosystem.
Ability to use Hive and Impala, and understand the differences between HBase and traditional databases.

2. Data Science Course Details for Working Professionals in Singapore

Full-time and part-time data science courses in Singapore are designed to prepare candidates for industry-recognised certifications. The courses help build strong skills in data analysis, data visualisation, as well as in advanced topics such as machine learning. Learners can gain practical and technical expertise through these courses.

Here are some additional features of Data Science programs that make them attractive for working professionals in Singapore:

Features	Details
Global University Partnerships	Course work done in collaboration with well-regarded institutions and universities.
Industry-Aligned Curriculum	Covers the tools and skills in demand in the industry: Python, SQL, Tableau, Power BI, Machine Learning, AI, Deep Learning.
Mentor Support	Weekly sessions with industry mentors for doubt resolution and project feedback.
Capstone Projects	End-to-end, real world data science projects allowing you to showcase the practical application of what you have learned.
Peer-to-Peer Learning	Connect and network with a diverse global learning community, to collaborate and have discussions.

Overview of Data Science and Analytics Curriculum and Course Structure

A data science curriculum enables learners to acquire in-depth knowledge to work with different types of data and statistics. Learners graduate with a thorough understanding of the multiple methodologies, skills, and data science tools needed for working in the corporate world. The data science and data analytics course curriculum encompasses topics such as algorithms, statistics, programming, and analytics.

Core Topics Covered in the Online Data Science and Analytics Courses

Online data science and analytics courses cover a wide range of topics, enabling learners to build foundational and advanced skills. These topics are designed to prepare learners for practical data challenges across industries:

Topics	Key Learnings
Advanced Math and Programming	Master advanced mathematical concepts applied to programming for complex problem-solving.
Data Analysis and Exploration	Learn about the principles and practices to pull insights out of data through exploratory analysis and visualisation.
Cloud Computing and Big Data	Learn about the cloud infrastructure to efficiently deal with large data sets for storage and processing.
Foundations of Machine Learning	Know about algorithms and statistical models that are used to make predictions and decisions from data.
Deep Learning and NLP	Understand advanced ways to construct and utilise neural network architectures and algorithms.
Research Methodologies	Learn about the principles and frameworks for designing and analysing research in a professional capacity.
Data Engineering: Distributed Data Processing with Hadoop Framework	Learn to use Hadoop to manage large datasets across distributed computing environments.
Cloud Native SQL Databases	Learn about the cloud optimised SQL databases and how to use them to leverage performance.

Tools and Technologies Covered in the Online Data Science Course

The table below enlists the key tools and technologies covered in the Data Science Course:

Tools	Key Features	Impact
SAS	Strong data analysis tools with advanced machine learning features for better insights and predictions.	Used across sectors for data security and analytics.
Microsoft Power BI	Interactive dashboards, real-time data access, and seamless integration with Microsoft tools for effective data visualisation and business intelligence.	Makes data visualisation more accessible, empower professionals to turn data into clear, actionable insights that can be applied through visualisation
Tableau	Presents improved support and better integration with real-time data sources for faster insights	Makes data visualisation accessible to everyone and is popular among non-technical users.
TensorFlow	Designed for ease of use with plenty of ready-made models and simple APIs. Great for beginners and fast prototyping of deep learning projects	Powers AI breakthroughs with broad adoption in research and practical solutions.
Snowflake	Offers seamless data sharing and support for structured and semi-structured data.	Transforms data warehousing through real-time analytics and seamless data collaboration to derive insights from vast data.

Data Science Specialisations and Elective Options

Below are some of the best Data Science specialisations to explore:

Machine Learning (ML) - In a Machine Learning specialisation within Data Science, learners will study how to apply advanced algorithms to enhance automation and improve decision-making. You will learn how algorithms and models can be used to solve complex problems.

Skills Acquired:
- Applied statistics
- Data mining
- Information visualisation
- Natural language processing
- Data and network security
- Pattern recognition
Career Outcomes: Possible job roles to pursue include:
- Software engineer
- Application developer
- Programmer
- Statistician
- Data architect

Data Mining and Statistical Analysis- This data science specialisation combines mathematical and statistical studies with in-depth training in computation and data analytics.

Skills Acquired:
- Mathematical and applied statistics
- Data management
- Analysis and model-building with bulk data
- Statistical computing and learning
Career Outcomes: Possible job roles to pursue include:
- Data engineer
- Data analyst
- Data mining analyst
- Quantitative analyst
- Marketing analyst

Database Management and Architecture- This specialisation will teach you to design and manage big data systems, curate and process large datasets, and enable your organisation to access and interpret data effectively for informed decision-making.

Skills Acquired:
- Business intelligence
- Business analysis
- Database design and management
- Data warehousing
- Big data systems engineering
- Advanced architecture design
Career Outcomes: Possible job roles to pursue include:
- Data engineer
- Database architect
- Information modeling engineer
- Data administrator

Business Analytics and Intelligence- With a Business Analytics and Intelligence specialisation, candidates will learn how to leverage data for informed decision-making and communicate insights to stakeholders to solve business challenges.

Skills Acquired:
- Mathematical process skills
- Statistical analysis methods
- Database management
- Regression modeling
- Reports production and presentation
Career Outcomes: Possible job roles to pursue include:
- Business intelligence analyst
- Market research analyst
- Business analyst
- Marketing analyst

Data Engineering and Warehousing - This data science specialisation will help you acquire knowledge of the methods and technologies used to manage big data warehouses, along with engineering and problem-solving skills essential for building effective big data solutions.

Skills Acquired:
- Optimising data collection and storage
- Processing and analysing data
- Reporting and visualising statistics and patterns
- Building and testing models to manage large quantities of data
- Learning programming languages
Career Outcomes: Possible job roles to pursue include:
- Computer systems analyst
- Computer network analyst
- Data scientist
- Data analyst
- Data engineer
- Data manager

Hands-On Projects and Practical Experience

Valuable hands-on projects and practical experience are essential for applying classroom knowledge to solve complex problems faced by businesses. This opportunity enhances learners' understanding of data science and supports them in developing the crucial technical and analytical capabilities required for a promising career in this field.

Access to 60+ real-world examples and case studies through upGrad’s data science courses in collaboration with top global universities.
Develop technical and analytical skills by working on practical, industry-relevant scenarios.
Work on projects in AI, data analysis, and machine learning to deepen subject understanding.
Gain experience for in-demand roles such as data analyst, machine learning engineer, and AI specialist.
Build a strong portfolio that reflects job-ready skills for the data-driven economy.

Fee, Duration, and Flexibility of the Online Data Science Courses

Online data science programs present completely flexible learning options, including self-paced modules and weekend classes. This flexibility makes it easier for working professionals and students to upskill without disrupting their busy schedules.

Duration:

- Master’s programs typically range from 1 to 2 years.
- Certification courses are shorter, usually taking 6 months to 1 year to complete.

Flexibility
- Online courses are designed for working professionals and students with busy schedules.

Programs offer self-paced or part-time learning options, allowing learners to balance study with work or other commitments.

3. Why Choose upGrad’s Online Data Science and Analytics Programme?

upGrad’s online data science and data analytics programs come with a comprehensive and industry-relevant curriculum. Here are some key reasons to pursue these programs:

They combine theoretical learning with hands-on projects and real-world case studies.
Includes mentorship from experienced data science professionals to enhance practical skills.
Offers career support and personalised guidance to help you reach your goals.
Designed with flexible learning options for working professionals and fresh graduates.
You can enroll in a graduate diploma in Data Science or pursue a full degree online to upskill effectively.

4. Data Science Internship in Singapore

For individuals passionate about data and who enjoy problem-solving in business using advanced analytics, Singapore offers a wide array of data science internship opportunities for fresh graduates. According to Glassdoor, thousands of internships are available in Singapore in 2025.

The average salary for a Data Scientist Intern in the country is SGD 1,250 per year or SGD 1 per hour as of 2025, which is in line with the national average. The highest salary for a Data Scientist Intern in Singapore is SGD 1,450 per annum, while the lowest salary is SGD 1,200 per annum.

5. How to Choose the Right Online Data Science and Analytics Program in Singapore

Choosing the right online Data Science and Analytics program in Singapore requires careful consideration of your career goals, background, and learning preferences. Key factors include:

Identifying Personal Goals and Aspirations

Think about your goals and aspirations from learning data. Do you intend to resolve business issues with big data analysis? Or do you want to polish your ML skills to deliver a more enhanced user experience? Choose a program based on your goals.

Considering Course Content and Curriculum

You can't become a data scientist without having a hands-on understanding of the principles. Along with theory, comprehending the fundamental ideas, real-world experience plays a pivotal role. With quality data science programs, learners can equip themselves with the practical knowledge needed to solve real-world challenges.

Evaluating Faculty and Industry Connections

It is crucial to evaluate your mentor's level of competence to acquire the knowledge you are seeking. Select an institution with the most qualified professionals as faculty.

Researching Alumni Success Stories

Ask your alumni about their study placement history, overall experience, course details, curriculum adherence ratio, and learning techniques.

Exploring Internship and Job Placement Opportunities

Availability of the best opportunities for internships and job placements is crucial. Ensure the platform or university you join is efficient in placing its students.

6. Funding and Scholarships for Data Science and Analytics Courses in Singapore

Singapore offers various funding options and scholarships to support learners pursuing Data Science and Analytics courses. These include government subsidies, university grants, and industry-sponsored schemes aimed at reducing the financial burden for professionals and students.

Government Scholarships and Grants	University-Specific Scholarships	Loan Options and Financial Assistance
Several data science courses in Singapore offer government scholarships and grants to support students' education. Some of them cover tuition fees and other education-related expenses for aspiring students.	Several private universities also offer scholarships, which are granted based on merit and qualification.	Financial aid has helped hundreds of students in fulfilling their dreams of pursuing higher data science courses in Singapore. By collaborating with lending institutions, many institutes let students enroll in their preferred course with a minimal down payment.
Example, NUS AI TALENT SCHOLARSHIP offers subsidised tuition fees, SGD 6,000 annual living allowance, and SGD 7,500 Student Exchange Program/ NUS Overseas Colleges allowance, among others.	For example, the SIM Global Education offers SIM Global education bursary or enhanced financial aid for needy students depending on the needs of the candidates.	Subsidy schemes like SkillsFuture Career Transition Programme (AI & Data Science) and SME training grants offer up to 70–95% course fee coverage

7. FAQs on Data Science and Analytics in Singapore

What is data science, and how to get into a data science career in Singapore?
Data science is an interdisciplinary field that utilises algorithms, processes, and tools to analyse large datasets and extract valuable insights. It uses data to solve problems, answer questions, and support better decision-making. Knowledge in mathematics, statistics, computer science, and domain-specific understanding is required to turn raw data into meaningful information.

To start a data science career in Singapore, focus on building strong programming and statistics skills through certifications or degree programs. Gaining hands-on experience through projects or internships can also improve your job prospects in this high-demand field.

How to learn data science and analytics in Singapore?
To learn data science and analytics in Singapore, you can pursue formal on-campus degree courses through the National University of Singapore (NUS) data science programs or apply to professional and reputable institutions like upGrad for online data science programs. You may also take advantage of platforms offering short certifications and boot camps in data science.

How to use data science in marketing?
By using data science in marketing, professionals can help businesses understand customer behavior, predict trends, and personalise campaigns. By analysing data from social media or through customer purchase history, marketers can make more informed decisions.

Data Science vs Data Analytics vs Data Engineering
Data science is an interdisciplinary field that utilises algorithms, processes, and tools to analyse large datasets and extract valuable insights. It focuses on solving complex problems using data. Data Analytics involves examining data to identify trends, patterns, and insights for informed decision-making. At the same time, Data Engineering focuses on building and maintaining the systems and pipelines that store, process, and manage data.

What prerequisites are required for data science and analytics courses?
Data science aspirants seeking to enroll in the best online data science courses must consider the following prerequisites:
Fundamental understanding of statistics
Knowledge of the popular and industry-relevant coding languages.

How long does it take to complete a data science course in Singapore?
The duration of a data science course in Singapore varies depending on the educational platform or institution offering the course. For instance, an online data science introduction course is only six months long, whereas a full-time master's program in data analytics may take up to two years.

Can I pursue a data science course part-time while working?
You can pursue a part-time data analytics course in Singapore via an online learning platform. The online programs offer complete flexibility, allowing you to pursue them at your convenience through online and weekend classes.

What is the average cost of data science and analytics courses in Singapore?
The average data science course fees in Singapore depend on factors like the institution you choose to enroll in and the benefits offered by the courses. However, the average cost fluctuates between SDG 2,800 and SDG 12,830. It costs considerably less to pursue a data science course online from any recognised institution compared to on-campus and regular programs.

What career opportunities can I expect after completing the course?
Here are a few career opportunities based on special skills to explore upon completing your data science course in Singapore:

Specialisation	Career Opportunities
SQL	Data Engineer/Data Analyst/BI Analyst
Big Data	Data Scientist/Data Engineer/Big Data Engineer
Python	Data Analyst/Data Scientist/Research Scientist
Artificial Intelligence (AI)	Data Scientist/AI Engineer/Research Engineer
Data Visualisation	BI Analyst/Data Analyst/Data Scientist

Our Programs are Accredited!

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.

Data Science Program Success Stories

What Our Learners Have to Say

Gained a deep understanding of data analysis and machine learning techniques

During my Masters of Data Science, I gained a deep understanding of data analysis and machine learning techniques, as well as experience with programming languages like Python and R. I also had the opportunity to work on real-world projects and develop my communication and collaboration skills. Overall, the program provided me with the knowledge and skills needed to succeed as a data scientist in today's data-driven world. Read More

LinkedIn Profile

Ajitpal Brar

BI Lead at EPAM Systems
16 Years of Experience

My skill set has been sharpened, I've learnt new skills, and improved my competency.

As part of my upskilling, I searched for programs that could help achieve that and came across upGrad and enrolled. It has been a really enlightening journey and one that I've thoroughly enjoyed. My skill set has been sharpened, I've learnt new skills, and improved my competency. I've also connected and made friends with some really awesome and like-minded people along the way and thus I've enlarged my network. Part of my success was that I was invited by the Vice Chancellor of one of the Universities in South Africa to address the executive council on a large language model i.e ChatGPT, and its impact on research. Read More

LinkedIn Profile

Elisha Bax Dibakoane

Lead Data Scientist at Vodacom
16 Years of Experience

Upgrad have been immensely gratifying and afforded me a comprehensive and enriching learning experience

Embarking on my educational journey with upGrad has been one of the most pivotal decisions I have made in my professional growth. Reflecting on this experience, I can confidently state that I have absolutely no regrets. The programs provided by upGrad have been immensely gratifying and afforded me a comprehensive and enriching learning experience that I have sought for many years. Prior to discovering upGrad, my endeavor to find a robust and industry-aligned Data Science program was quite arduous. I dedicated a full two years exploring various online platforms, hoping to stumble upon a curriculum that would captivate my interest and significantly enhance my expertise in this field. Despite my efforts, I found myself trapped in a perpetual cycle of starting anew with each program, never encountering one that met my expectations or managed to keep me engaged long enough to witness substantial progress. However, my trajectory took a promising turn when I came across upGrad. The Executive Program in Data Science, offered in collaboration with IIIT Bangalore, proved to be a game-changer for me. Within the initial few months of enrollment, I experienced remarkable advancement, serving as a testament to the caliber and comprehensiveness of the curriculum crafted by upGrad and its academic partners. The subsequent phase of my education, the LJMU MSC in Data Science, further enhanced my learning experience. This particular segment of the program was undoubtedly rigorous and replete with challenges. However, it was precisely these challenges that rendered the journey incredibly fulfilling. The demanding curriculum pushed me to my limits, refining my analytical skills, deepening my comprehension of intricate data science concepts, and equipping me with the confidence and professionalism required to tackle real-world problems. upGrad's learning platform, with its blend of live online sessions and recorded sessions, coupled with the unceasing support from mentors and the vibrant community of peers, has played a pivotal role in my personal growth. The hands-on projects and case studies were particularly advantageous, enabling me to apply the knowledge acquired in a practical context, thereby solidifying my understanding and proficiency in data science. My educational expedition with upGrad has been revolutionary. The knowledge and skills I have acquired have not only elevated my professional standing but have also unlocked a plethora of opportunities in the realm of data science. I am immensely grateful to upGrad and its academic partners for providing such a meticulously structured and impactful program. For anyone looking to advance their career in data science or any other field, I wholeheartedly endorse upGrad without reservation.

LinkedIn Profile

Haddon Mwila

Senior Data Scientist at Zambia Revenue Authority
19 Years of Experience

The journey with upGrad has been exciting

It was initially tough to make the decision to resume academics, being a busy working professional with 15+ years of experience. But after the enrollment process, the journey with upGrad has been exciting, with weekend mentored classes and expert clarifications. The deadlines sometimes were aggressive, but I always had fun completing them with support from upGrad mentors and teaching assistants whenever required. As I complete Executive PG from IIIT Bangalore,I plan to continue my Masters with UK's LJMU as planned. The completion of my PG Executive journey has given me higher visibility at my IT workplace and has given me a market boost with several job opportunities knocking on my door almost every now and then from US Companies. Once I complete my master's, I plan to join Product Based companies in the US and plan for any new aspirations as things demand. Thank you Team upGrad for all your Support. Read More

LinkedIn Profile

Rajiv Mazumder

Project Manager at Tata Consultancy Services (TCS)
19 Years of Experience

My experience this far has been nothing short of exceptional.

I took up the upGrad Data Science course with a desire to challenge myself and expand my knowledge in this rapidly evolving field. My experience this far has been nothing short of exceptional. The program has pushed me to grow both professionally and personally, and I feel equipped with the skills and confidence to take on new challenges in my career. Read More

LinkedIn Profile

Noaman Kazi

Head - Digital Technology, Product delivery at Jawwy
20 Years of Experience

Data Science Domain Insights

Latest Industry Trends in Data Science & Analytics

DS & AI : Add value and be a part of large job pool worldwide

93% professionals acknowledge the pivotal role of DS and AI in business

80% organizations embrace data products

28% annual expected job growth by 2026 (over 11.5M new jobs)

$733.7 billion AI market size is expected to reach by 2028

65% graduates achieve career advancement within two years.

87% of C-Suite executives struggle to hire AI-skilled professionals

Offerings

Services to Help You Achieve Your Goal

Access the various career development support services offered by upGrad to help you achieve your professional goals.

High ROI

Cost Effective

Further your career at 1/10 of the cost to the same on-campus program

Learn and Earn

Get world-class credentials without leaving your job from the comfort of your home

Industry Driven

Learn through a curriculum created by the industry for the industry
Learn and get coached by accomplished practitioners from around the world

Flexible

Experience world-class education on-demand through our proprietary app and website.

Unparalleled Support

24 x 7 Support augmented with chatbot
Get expert verified resolutions for all your doubts within hours
Weekly live sessions with scholar-practitioners on doubts, career & communication

Career Preparation

1-1 Career Coaching
Career preparation modules
AI-powered Profile builder
Just-in-time mock interviews
Post-program career support

Networking

Get world-class credentials without your job from the comfort of your phone

Industry Mentorship

Receive mentorship from leaders of the domain to help you reach your desired career goal

Featured Data Science Programs

Free Masterclasses

Mani Kanteswara

Sr. Principal Data Scientist at Google

How to make your way into a DS role at Google

Ahmed Wael

Creating a FIFA Dashboard Using Tableau

View All

upGrad Learner Support

Monday - Friday | 9:30 AM to 7:30 PM SGT.

Phone Number

+65-6232-6730

Email Address

query@upgrad.com

*All telephone calls will be recorded for training and quality purposes.
*If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.

Disclaimer

upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic, professional requirements and job prospects before enrolling. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. Success depends on individual qualifications, experience, and efforts in seeking employment.

upGrad is not a college/ university. upGrad does not award the Data Science and Analytics degree. The Data Science and Analytics programs, scholarships, financial aid options, accreditations, curriculum, mode of delivery, and all academic decisions are solely determined by the respective universities and institutions. upGrad’s role is limited to facilitating learner support, guidance, and access to program information as provided by the universities. All claims related to rankings, accreditation status, duration, fees, financial assistance, course structure, faculty, research opportunities, study modes, career outcomes, or any other academic features are based on information sourced directly from the respective institutions. Learners are advised to independently verify all academic, accreditation, and financial aid details from the official university websites before enrolment.

Views expressed are solely those of the speaker and are not verified or endorsed by upGrad. Outcomes depend on various factors, and individual results may vary. Past performance is no guarantee of future results.

Tuition fees are subject to change by the university during the course. upGrad has no control over such revisions. Learners are responsible for monitoring communications from the university regarding fee modifications.

This is not a financial offering. Any references to investments and returns are illustrative and indicate how you may potentially benefit from participation in the Program. The amounts shown are approximate estimates and may differ based on various factors.

upGrad does not grant credit; credits are granted or recognized or transferred at the sole discretion of an educational institution. The Universities providing the programs have relevant accreditation/recognition in the country where the International University is located.

This program does not constitute a dual, joint, or twinning degree program.

Read Less