Awards & recognitions

Northwestern Master's in Data Science Programme is awarded the

2023 UPCEA International Program of Excellence Award

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Why Choose this Programme?

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World Class Education

  • Northwestern was ranked in top 10 U.S. universities (U.S. News & World Report 2021)
  • Designed and delivered by experienced faculty with industry experience
  • Physical residencies in Chennai and Gurgaon GLIM campus
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Comprehensive Learning

  • Learn popular programming languages, frameworks and libraries in a hands on environment
  • 100% Live classes
  • AI as a specialisation
  • Capstone project to showcase acquired skills
  • 32 credits earned in 18 months
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Career Assistance

  • Dedicated career assistance for enrolled students
  • 1:1 Career mentorship, access to job boards and more

MS in Data Science Programme from Northwestern University

Careers Empowered

  • Sivakumar Saravanasubramanian

    Sivakumar Saravanasubramanian

    Program Lead and Solution Architect

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    Lead Data Scientist and AWS Data Solutions Architect
  • Akshay Chaudhari

    Akshay Chaudhari

    CFD Manager

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    Project Manager
  • Srihari Narasimhachar

    Srihari Narasimhachar

    Solutions Architect

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    CEO and Data engineering & ML Architect.
  • Shalesh Nath Sharma

    Shalesh Nath Sharma

    Sr. Data Analyst

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    Analyst II in IT Sector
  • Nadiya Noorudeen

    Nadiya Noorudeen

    BI Analyst

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    Lead Operational Performance Analyst
  • Ajinkya Lakhepatil

    Ajinkya Lakhepatil

    MS in Data Science

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    Ph.D. in aerospace

Get the most elite Master’s degree from Northwestern University

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Among US universities in 2022

*U.S. News & World Report 2022 Best College Rankings

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Global University Rankings 2022

*The Times Higher Education World University Rankings 2022

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Curriculum

225+ hrs

Learning content

10+

Languages & Tools

    Term 1

    This initial term of the master’s in data science programme has been carefully crafted to set the foundation for your journey into this expansive field, with a primary focus on building core quantitative skills and gaining an in-depth understanding of the role of data in statistical and mathematical modeling.

    Math for Modelers

    Learn techniques for building and interpreting mathematical models of real-world phenomena in and across multiple disciplines, including linear algebra, discrete mathematics, probability, and calculus, with an emphasis on applications in data science and data engineering.

    Applied Statistics with R

    This course teaches the fundamentals of statistical analysis. This includes evaluating statistical information, performing data analyses, and interpreting and communicating analytical results. Students will learn to use the R language for statistical analysis, data visualization, and report generation.

    Term 2

    In the second term of this online master’s in data science, learners will broaden their expertise in managing, understanding, and leveraging data to influence business processes. This module teaches you how to extract meaningful insights from data and guides you on utilizing these insights to drive decision-making and strategy in the business world.

    Database Systems

    In this course, students explore the fundamental concepts of database management. With a focus on applications in large‐scale data analytics projects, the course introduces relational database systems, the relational model, normalization process, and structured query language (SQL).

    Business Process Analytics

    This course introduces data-driven management methods, including business process workflows, mining, modeling, and simulation, activity-based costing, constrained optimization, and predictive analytics.

    Term 3

    The next module of the MS in data science programme focuses on strengthening your ability to engineer robust data systems and apply analytical skills to complex decision-making scenarios.

    Foundations of Data Engineering

    This course introduces data engineering concepts and technologies relevant to development and operations (DevOps). It reviews design principles, development processes, and management of information systems, with a focus on containerized microservices and cloud-native applications.

    Decision Analytics

    This course covers fundamental concepts, solution techniques, modeling approaches, and applications of decision analytics. It introduces commonly used methods of optimization, simulation and decision analysis techniques for prescriptive analytics in business.

    Term 4

    Moving forward to the next term, this module of the online data science master’s degree presents a balanced combination of ethical considerations in data science and the application of machine learning (ML). It aims to enhance your understanding of the impact and responsibilities of data science in society while bolstering your practical ML skills.

    Data Governance, Ethics, and Law

    This course introduces data management concepts, including data quality, integrity, usability, consistency, and security. It considers the lineage of data, sometimes referred to as data provenance. It reviews ethical, legal, and technical issues relating to data acquisition and dissemination, as well as privacy protection.

    Practical Machine Learning

    • 0.5 credit in-class component
    • 0.5 credit required on-ground residency, held in person at either the Chennai or Gurgaon campus, India

    The course introduces Machine Learning with business applications. It provides a survey of machine learning techniques, including traditional statistical methods, resampling techniques, model selection and regularization, tree‐based methods, principal components analysis, cluster analysis, artificial neural networks, and deep learning

    Term 5

    This module of the online master’s degree in data science marks an exciting stage in your learning journey as you delve into advanced data science techniques, namely natural language processing (NLP), artificial intelligence (AI), and deep learning. These cutting-edge technologies lie at the heart of many modern data science applications, and this term will equip you with the necessary skills to harness their potential.

    Natural Language Processing

    A comprehensive review of text analytics and natural language processing with a focus on recent developments in computational linguistics and machine learning. Students work with unstructured and semi-structured text from online sources, document collections, and databases.

    Artificial Intelligence & Deep Learning

    An introduction to the field of artificial intelligence, this course illustrates probability rule‐based generative models as well as discriminative models that learn from training data.

    Term 6

    This final term of the data science master’s degree prorgamme is an opportunity to consolidate all that you've learned with an exploration of computer vision technologies and a capstone project that allows you to apply your comprehensive data science skills to real-world problems.

    Computer Vision

    The course illustrates real-world applications for visual exploration, object recognition, image classification, facial recognition, remote sensing, navigation, and medical diagnostics. This is a project-based course with extensive programming assignments.

    Capstone

    (a) In-class component

    (b) 0.5 credit required on-ground residency, held in person at either the Chennai or Gurgaon campus, India

    This course is the culmination of the Data Science program. It gives students an opportunity to demonstrate their business strategic thinking, communication, and consulting skills. Business cases across various industries and application areas illustrate strategic advantages of analytics, as well as organizational issues in implementing systems for Data Science. Students work in project teams, generating business plans and project implementation plans.

    MS Degree from Northwestern University

Languages and Tools covered

Python SQL R Language Machine Learning Pandas Predictive Modeling

and more..

The Northwestern University Advantage

Become a bonafide Northwestern alum and Get a Northwestern student email, membership to alumni clubs
160+ Years of educational excellence
Interactive 100% live sessions delivered by our top ranked faculty
Alumni network spread across 75 countries
Get to attend convocation on-campus in the USA*
*T&C Apply

Get the Great Learning Advantage

Physical residencies in Chennai and Gurgaon GLIM campus
Dedicated Career Assistance
Students CV review
1:1 Career sessions
Access to job boards and more

Hear what our learners have to say

This programme has taught me a lot from the basics of data science to the latest and greatest in the field of AI.

Himanshu Kardam

Digital Marketing Specialist, Google

The residency programme was a great opportunity to meet my fellow classmates and professors in person. That brought us all together.

Himadri Bora

Chief Strategy Officer, Dun & Bradstreet South Asia Middle East

I can now contribute not only to my company's business but also to their tech implementations and the whole digital transformation process!

Gaurav Kumar

Global Shared Options Planning & Data Science Lead, Hewlett Packard Enterprise

I also wanted to transition into a data science role and the programme has given me the confidence to do so!

Rohit Pandey

Accelerate.AI

Whatever I have picked up in the last 18 months, will really help me apply that in my current day-to-day work.

Ramkrishna Potdar

Head of Data Science & Technology, Stemly

Everything is hands-on and oriented around problem solving.

Ramandeep Singh

Director, UIDAI, MeitY

Northwestern University and Great Learning Professors help us with the theoretical and practical aspects of the course.

Guruparan Muruguvannan

Senior Manager, Engineering at VMWare

Learner Testimonials

  • What I like about the course is its goal of explaining the fundamentals of data as science.Live online classes conducted by notable Northwestern University professors and excellent learning references, materials, and teaching assistants helps us, students, understand the syllabus.

    Read more
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    Guruparan Muruguvannan

    Senior Manager - Engineering, VMWare

  • The structure seems completely thought through with great attention to detail. Faculty support during the live sessions focusing on concepts, practical implications, and the much needed hands-on experience are a few things that impressed me so far.

    Read more
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    Pallav Kumar

    Senior Manager, Sigmoid Analytics

  • I like the way the course is running with concepts covered in depth and practical examples. I love all professors for their knowledge, crystal clear vision and apt points of clarification.

    Read more
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    Sandeep Betanapalli

    Linux Software Engineer at Doodle Labs

  • The assignments are well formulated and help us to put to test, our understanding of the topic that we study. Discussion boards force us to think out of the box and give our opinions on various interesting articles. Overall, my experience has been excellent, and I’m looking forward to the rest of this program!

    Read more
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    Prithvi Harish

    Enrolled learner

Program Fees

Program Fees:
13,000 USD

Benefits of learning with us

  • MS degree from Northwestern University
  • Online, 100% Live sessions
  • 18 months
  • Dedicated career support: placements, 1:1 career guidance
  • Hands-on learning with assignment and project work. Emphasis on learning by doing
  • Fee payable in six quarterly instalments of $2,167 each

Application Process

1

Submit application form

Apply online through Northwestern University

2

Application review

The admissions committee at Northwestern University will carefully review a submitted application and communicate their decision

3

Join program

An admission offer will be made to selected candidates. Secure your seat by paying the admission fee.

Frequently Asked Questions

Program Details
An introduction to the offered by Northwestern University School of Professional Studies in collaboration with Great Learning.


The MS in Data Science is an 18-month program offered by the Northwestern University School of Professional Studies in collaboration with Great Learning. This program equips you to build key analytical and leadership skills required for careers in today's data-driven world. This program equips the learners with a comprehensive understanding of the most in-demand tools and technologies of the current world.

 

Is this course WES accredited?

WES accreditation is only required for courses from universities outside of the US to prove that they are equivalent to one by an accredited US university.

 

For example, WES may look at a course by an Indian engineering college that assigns points out of 100 and then converts it to an equivalent score for a similar course in the US out of a 4.0 GPA scale. 

 

As the MS in Data Science Programme is from Northwestern University, a US-accredited university, WES accreditation is not required.

What happens if I cannot attend a live session?


While we highly encourage attendance at the sessions, we understand that scheduling conflicts may arise, which is why we will be uploading session recordings on the LMS (Learning Management System). This will allow students the flexibility to access and view the sessions at their convenience, even if they are unable to attend them live.

 

Can I take this Masters in data science degree course from anywhere in the world?


Yes, candidates from any part of the world can take up the MS in Data Science programme. As this course is offered completely online, you can enrol yourself and learn Data Science from the highly reputed faculty of Northwestern University.

What should I expect from the Masters in Data Science Programme?
  • Upon taking up the Masters in Data Science Programme offered by Northwestern University, you would learn the most in-demand tools and techniques of Data Science. Learners would gain a comprehensive understanding of all the concepts that are taught throughout the sessions.

  • Participate in the live interactive sessions delivered by the top faculty of Northwestern University.

  • You would work on several projects, and participate in quizzes and assignments that enhance your understanding. You would also work on a capstone project that incorporates all the tools and techniques learned throughout the course. 

  • Taking up this course would also get you a Northwestern student email ID and provide membership to alumni clubs and exclusive Northwestern advantage.

  • You would also become a bonafide Northwestern alum.

  • You will also be provided with dedicated support to guide you throughout your learning journey.

  • Great Learning provides dedicated career support to its learners upon the successful completion of the course.

  • You would partake in several resume review sessions, 1:1 career guidance sessions, gain access to job boards and much more.

Which topics are going to be covered as a part of the Masters in Data Science programme?

The curriculum of this programme encompasses all the fundamentals of Data Science. Throughout this course, you would learn about several concepts like Applied Statistics, Mathematics, Database Systems, Machine Learning, Data Governance, Python and more.
 

You will also complete coursework in Artificial Intelligence comprising Natural Language Processing, Artificial Intelligence, and  Deep Learning

 

Why should you choose the Masters in Data Science programme by Northwestern University?

MS in Data Science programme from Northwestern University stands out with its remarkable benefits. The exclusive Northwestern advantage clubbed with the amazing benefits this course has to offer, makes this the right choice for professionals.

 

Here are a few of the benefits of the programme:

 

  • World-Class Faculty: Upon taking up the Masters in Data Science Programme by Great Learning, you would learn from the world-renowned faculty of Northwestern University. You will partake in the live interactive sessions with the faculty and enhance your understanding of concepts.

 

  • Hands-on Learning: Learners gain hands-on exposure to the tools and concepts learnt throughout the classroom sessions by participating in quizzes, assignments and projects. A capstone project is also assigned to the candidates at the end of the course that encompasses all the tools and concepts mastered during the live teaching sessions.

 

  • Comprehensive Curriculum:  The curriculum of this programme is designed by highly skilled Data Science academicians and experts. The curriculum incorporates all the requisite tools and concepts employed in Data Science and Artificial Intelligence. Learners master several in-demand tools such as Python, R, SQL, Pandas and more.

 

  • MS Degree from Northwestern University:  Upon the successful completion of this course, learners obtain a certification from the prestigious Northwestern University that adds value to their resumes.

 

Besides the above mentioned, there are a lot more benefits that this course offers. Do check out the fee, syllabus and more.

What is the duration of Data Science Master’s Degree from Northwestern University?

The duration of a Data Science Master’s Degree from Northwestern University is 18 months, 6 terms of 3 months each.

Do I have to know programming in order to enrol for masters degree from Northwestern University?


While knowledge of a programming language is not a prerequisite, the course will extensively use Python and R programming languages for the demonstration of concepts as well as for project work. If applicants do not have any background in programming then it would be helpful if they started learning Python and R prior to the start of the course.

 

How is an online MS degree different from classroom based learning?


While in terms of curriculum design and academic & career outcomes, this online degree is the same as a classroom programme, the key difference comes in how the curriculum is delivered. Classroom-based learning relies on more in-person interactions where students attend lectures in a classroom, interact with faculty over office hours, have study sessions with TAs, etc. In an online programme all this interaction shifts so that it happens over the internet. This shift allows for greater convenience, flexibility, and adherence to social distancing measures, making online programs an attractive option. Thus an online programme offers more convenience, flexibility, and safety (by providing social distancing) compared to a classroom programme

 

How much time will I need to dedicate for the degree every week?

This is a master level degree and will be rigorous in nature. While the time needed will vary depending on prior knowledge, students should plan to spend around 15 - 20 hours every week.

 

Will every subject have a final examination?

 All faculty will decide on the grading mechanism of their respective subjects. The evaluation criteria will be shared by them at the start of every course.

 

Can I complete the programme in an accelerated manner by taking multiple courses per term?


The programme follows a cohort-based approach and students would be required to complete the various courses in a prescribed order.

 

How many live online sessions will there be?


The exact number of sessions will be determined by the respective faculty, although, each course will feature a minimum of three engaging live sessions.

 

What will be the duration of the live sessions?

The typical duration of a live session would be 2.5 hours.

 

Will the sessions be live or recorded?


There will be a mix of live sessions as well as pre-recorded video lectures. Live sessions will also get recorded, in case a student is unable to attend a session or wishes to review it they would be able to view the recording again.

What are the highlights of this programme?

 

  • Flexibility: This programme encompasses online learning with live sessions. The live sessions of this programme are organised to cause minimal disruptions to your personal and professional lives. 

 

  • Committed Student Support:  Learners are empowered with constant support from several industry experts that help them in every step of their learning journey.

 

  • Career Assistance: Great Learning provides outstanding placement opportunities to their learners upon the successful completion of this course. Each learner is provided with comprehensive career services that assist them to land their desired job roles.

 

  • Learn the most in-demand tools: Upon taking up this programme, learners gain an understanding of the most in-demand tools such as R, Python, TensorFlow and more.

 

Admission queries
What should I write in the SOP?

There is no predefined list of questions that an applicant needs to answer. The SOP is meant more as a way for the admissions team to better understand an applicant and their background. Some of the points which an applicant can cover to achieve this are:

  • What is your motivation to enroll in a master’s degree?
  • How will this degree help you achieve your career goals?
  • How are you well positioned to leverage this degree in order to grow your career?
Are the chances of getting admitted higher if I apply earlier?

Applying early will not confer any special advantage however, the faster you apply the earlier you stand to get a decision. Some steps in the application process will need time and the admissions team themselves thoroughly evaluate each application so we advise that students submit an application as early as possible to avoid missing the deadline or having to rush at the last minute.

 

What is the last date to apply?

We have multiple cohorts starting every year, please connect with your admissions counsellor to know more.

How do I share my academic transcript with the admissions team?

 

Applicants can get in touch with their Admissions Counselors for guidance on how to complete the transcript evaluation process. Applicants may also submit their transcripts directly to an evaluation agency accredited by the National Association of Credential Evaluation Services (NACES).

 

Please contact an admissions counsellor to review the process for submitting mark sheets for initial evaluation.

 

What academic documents do I need to submit in order to receive an admissions decision?

Applicants will be required to submit scanned copies of their mark sheets or their official transcripts, and a copy of their degree certificate.

Eligibility
What is the eligibility for Masters in data science?


Students should have completed a 4 year U.S. bachelor’s degree or equivalent.

I have completed a 3 year bachelor degree, will I be eligible to apply? OR I do not have an engineering degree, am I eligible to apply?

(For students who did not complete their degree in the U.S.): If your transcript evaluation states that your degree is equivalent to a 4 year U.S. bachelor degree then you can apply for this programme.

(If the student completed their bachelor degree in the U.S.): If you have a 4 year bachelor’s degree then you can apply.

 

Do I need to give the GRE or GMAT test to qualify for MS DSP?

No.

Do I need to clear an English language proficiency test to apply?

If the medium of instruction for the student’s bachelor degree was English (as certified in the transcript evaluation report) then no. If your transcript is being evaluated by a NACES member agency , please ask them to clearly indicate this in their report. 
 

If the medium of instruction was not English then the student would need to give an English language proficiency test like IELTS or TOEFL.

 

Do I need to have a bachelor degree in science, statistics or mathematics in order to pursue this degree?

While knowledge of mathematics and statistics will be useful, it is not a prerequisite. Being a master’s program, the individual subjects themselves will have significant quantitative components and potential students are advised to brush up on their mathematics if they have not had the opportunity to use it recently.

 

Is the degree only open to working professionals? Can currently unemployed students take the degree?

While the course is designed to be convenient for working professionals, any student who fulfills the eligibility criteria can do this degree programme.

 

Fee and Payment
Is there any discount/scholarship available for the degree?

While there are no scholarships, enrolling students have the flexibility to pay the fees in installment. We also have tie up with financial institutions to provide education loans.

At this point, there is no discount or other financial aid available.

 

What is the fee for the degree?

 

The tuition for this degree is $13,000. This can be paid in 6 equal instalments of $2,167 each (payable at the start of every term). Please note that apart from the tuition, students will also need to budget for the following expenses:

 

  • A fee of $35 each for online proctored examinations (3 in total)

  • The cost of travelling, boarding/lodging and other expenses for the residency sessions (approximately $500 per residency) will have to be borne by the students.

 

Post Program Details
What would I learn when I take up the MS in Data Science programme by Northwestern University?

The application of the most in-demand technology of Data Science in formulating effective business strategy has generated huge demand for professionals that can make data-driven decisions to promote business growth.
 

Hence, Great Learning in collaboration with Northwestern University has designed a perfectly curated programme for professionals seeking to pursue an MS in Data Science to assist organisations in making critical data-driven decisions.
 

Below are the learning outcomes that learners can expect upon taking up this programme:
 

  • Effective analytics as a central strategy of Data Science.

  • Convert data into meaningful insights.

  • Generate statistically sound and sturdy analytical solutions.

  • Build leadership, define and execute plans to address business problems.

  • Assess risks and limitations on the application of data.

  • Evaluate data structure and data lifecycle.

What are the several benefits offered by Northwestern University to the learners upon taking up this programme?

Becoming a Northwestern Alumni offers some excellent benefits: 

  • Learners gain access to global alumni events.

  • Learners gain access to free learning events, library resources and much more.

  • Learners also gain access to Northwestern University's email address.

  • Learners also get to join a community of award winners and thought leaders in several domains such as Science, Technology, Politics, Arts & Entertainment and more.

Residencies
What is the significance of the residencies?

The two-day residencies are distinct, in-person interactions that augment the online Masters in Data Science programme on Great Lakes Chennai or Gurgaon campuses.

 

Residencies provide an excellent platform to acquire knowledge, build connections, and interact with fellow students and professors in an environment reminiscent of a traditional campus. In these residencies, learners collaborate in person with their team members on mandatory coursework and showcase their projects. Attendees get an opportunity to understand varied strategies for addressing data science challenges by observing the work of others. You can also look forward to several career-enhancing activities throughout both residencies.

 

When are the residencies scheduled in the MS in Data Science Programme?

Northwestern's Master's in Data Science Programme distinguishes itself as the only online programme that includes an in-person element - two residencies that take place in India during the 4th and 6th terms of the programme.

 

The practical Machine Learning module is divided into “a” and “b” parts. Practical Machine Learning (a) contributes .5 course credits to your degree progress and involves the actual in-course components of the curriculum.

 

The Practical Machine Learning (b) provides the remaining .5 credits towards your degree progress and comprises the compulsory residency component of the curriculum. For credit towards their degree, students must attend the residency in person at the Chennai or Gurgaon campuses.

 

Likewise, the Capstone module is divided into "a" and "b" parts, with .5 credits accumulated through class participation, and the last .5 credits are obtained by attending the second mandatory on-site residency.

What are the advantages of participating in the residencies?

 

  • Networking Opportunities: Residencies offer the chance to solidify relationships with highly capable professionals that you have already been introduced to in an online environment through the course of the programme. The inviting atmosphere of the campuses makes it easy to connect with your fellow students during meals, refreshments, and various engaging activities. Given that all participants will spend at least one, and sometimes two, nights on campus, this residential environment promotes bonding among the cohort.

 

  • High-Quality Educational Experience: Both Northwestern University and Great Learning are committed to providing a top-notch educational experience, which forms a crucial element of this MS in Data Science programme. Interaction with faculty through structured lectures and less formal social gatherings is encouraged. Each cohort's experience will differ, but participants can anticipate joining in on academic events like Kaggle competitions and comprehensive Capstone presentations and review sessions. Prestigious industry professionals will lead discussions on practical applications of data science across diverse industry topics, guaranteeing that participants acquire knowledge that is applicable in real-world scenarios and goes beyond theoretical classroom learning.

 

  • Career Guidance: Robust career support for those who aspire to change their professional path, as well as those who wish to advance in their current roles, is offered. Within the residency, group sessions guide learners on how to fast-track their careers in data science. Personalized mentoring sessions with experienced industry professionals, allowing learners to delve deeper into their short and long-term career goals, are also a part of the offering.

What does the cost of the residencies entail?

The cost for each residency is approximately $500*, which is directly paid to Great Learning. This payment includes the following:

 

  • Comfortable single-occupancy accommodation for 1-2 nights at the Great Lakes Institute of Management campuses in Chennai or Gurgaon

  • Three meals per day, along with coffee, tea, and light refreshments

  • A grand networking dinner gala featuring a variety of food and drinks

  • Access to campus amenities such as the gym, tennis courts, and pool table, among others

  • Remuneration for the experts and mentors for their valuable time

 

*Please note these costs do not account for personal travel expenses to the Great Lakes campuses.

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Master’s in Data Science Programme from Northwestern University School of Professional Studies

Numerous programmes are available across the globe to offer a Master’s Degree in Data Science. Nevertheless, working professionals have several reasons to register in this MS in Data Science programme from Northwestern University, collaborating with Great Learning. Check out the reasons drafted below:

  • Northwestern University is ranked as one of the world's highest-ranked institutions.

  • According to the U.S. News and World Report 2022 Best College Rankings, Northwestern University is ranked #9 globally. According to the Times Higher Education (THE) World University Rankings 2022, Northwestern University is ranked #24 globally.

  • Northwestern University School of Professional Studies is one of the 12 official schools and colleges affiliated with Northwestern University, providing a world-class education to students whose academic pursuits need to be balanced with professional and personal commitments.

Benefits of Pursuing the MS in Data Science Online Programme from Northwestern University

  • Pursue the online Data Science Master’s course and learn cutting-edge tools and techniques from seasoned, industry-relevant faculty members.

  • Join the distinguished community of faculty and alumni, recipients of the Nobel Prize, MacArthur Genius Grant, Pulitzer Prize, Grammy Award, Academy Award, Emmy Award, Tony Award, and Guggenheim Fellowship, among several other honorary and professional accolades.

  • Pursue the course online with live sessions and part-time learning mode, and learn popular programming languages, frameworks, and libraries in a hands-on environment.

  • Obtain comprehensive career services, like 1:1 career mentorship, placement process, and more.

Northwestern Alumni Benefits

Becoming a Northwestern Alumni comes with excellent benefits —

  • You can acquire lifelong membership, from global alumni events to free learning events, library resources, and a Northwestern email address.

  • You will also be affiliated with a community of award-winners and world leaders in science, technology, arts, politics, and entertainment, including the likes of Stephen Colbert, George R.R. Martin, Virginia Rometty, Rahm Emanuel, and others. 

Details about MS in Data Science Online Course

In this comprehensive MS in Data Science online course, the students will grasp all the essential skills required to master the Data Science field. Let’s go through in-depth details about the programme:

MSc Data Science Learnings:

  • The integration of Data Science and Business Analytics has created a demand for professionals who can make data-driven decisions that propel their organizations forward. 

  • You will build the critical data analysis and leadership skills necessary for careers in today's data-driven world.

  • You will articulate analytics as a core strategy of Data Science and develop statistically sound and robust analytic solutions.

  • You will be able to transform data into actionable insights.

  • You will be able to demonstrate leadership and formulate and manage plans to address business issues.

  • You will evaluate constraints on the use of data and assess data structure and data lifecycle.

MSc Data Science Syllabus:

  • It commences with the fundamentals, such as Mathematics and Statistics for Data Science, R and Python Programming.

  • Later, students will learn Machine Learning techniques, including Supervised and Unsupervised Learning algorithms, Database Systems and Data Preparation, Data Governance, and Decision Analytics.

  • Lastly, students will learn Artificial Intelligence, Deep Learning, Natural Language Processing, and Computer Vision.

  • Upon completion of learning Data Science, students will implement a Capstone Project.

[Explore MSc in Data Science Syllabus]

MSc Data Science Eligibility:

  • Students must have completed a 4 year U.S. Bachelor’s degree or equivalent.

  • Students with a 3 year Bachelor’s Degree, which is equivalent to a 4 year U.S. Bachelor’s degree, are also eligible to enroll in this programme. Please contact an admissions counselor for further information.

Master’s in Data Science Course Duration

This Master’s course is for 18 months with online live sessions from world-renowned faculty members from Northwestern University.

MS in Data Science Programme Fees

This MS programme costs USD 13,000, which the students can pay through 6 quarterly installments of USD 2,167 each. 

Secure an Online Master’s Degree in Data Science from Northwestern University

After successfully completing this course, you will secure an MS Degree in Data Science from Northwestern University.