Why choose this program?


Fully Hybrid Format

  • On-Campus in the USA + Online
  • Save up to USD 54,179 as compared to full-time US master’s program
  • Get eligible for up to 3 years STEM OPT Visa in the US

Learn from World-Class Faculty

  • Learn from Walsh & Great Lakes faculty
  • Be eligible for a career in data science in the US

Practical Learning Exposure

  • Apply new-age Data Science techniques to solve business problem
  • Become an ideal Data Science innovator to extract actionable insights for growth

Who is this program for?

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    Young, early-career professionals

    Looking to go abroad and starting a Data Science career

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    Mid and senior-level professionals

    Looking to go abroad and stay up-to-date with the skills needed for success in the digital world

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    Career transition

    Professionals who wish to transition to a high-growth Data Science career with industry-ready skills and knowledge

Earn MS in Data Analytics in the US from the Walsh College

Hybrid • 2 years

Earn a Degree and PG certificate from world's leading universities

Walsh Accreditation & Ranking

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The Higher Learning Commission (HLC)

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2023’s Best Online Master’s in Data Analytics

UT Austin University Rankings


Business Analytics

QS World University rankings, 2022


Executive Education

Custom Programs, Financial Times, 2022

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Top recruiters that hire from Walsh College

General Motors
Plante Moran
Grant Thornton
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Get the complete Study Abroad Guide to kickstart your dream


225+ hrs

Learning content


Languages & Tools

Leading experts and practicing industry professionals at Walsh College and Great Lakes design the curriculum of this MS in Data Analytics Program. It is specifically curated to cover a range of Data Science and Analytical skills, starting from the fundamentals and progressing to more complex, hands-on applications.

    Year 1

    During the first year of this Master’s in Data Analytics Program, learners will delve deep into the core principles and methodologies, such as Data Science and Business Analytics Techniques and Data Visualization, along with a hands-on, integrative Capstone Project. By the end of the first year, learners will have acquired a broad understanding and substantial skills in various aspects of Data Analytics.

    Data Science Foundations

    The first module of our Data Analytics MS Program is Data Science Foundations, where learners acquire the essential knowledge and skills to excel in Data Analytics. It covers a range of critical subjects such as Statistical Methods, Business Finance, Marketing and CRM, SQL Programming, and Python.


    Introduction to Data Science and fundamentals like Statistics, Probability, etc, which are key topics to understand Data Analytics. 



    This focuses on all the fundamentals of how business finance works in a company and is one of the most important topics in Data Analytics. 



    This topic covers all the fundamentals of how a business handles its marketing strategies and  Customer Relationship Management (CRM). 



    Learn about SQL programming, including DBMS, Normalization, Joins, etc. 



    Learn critical Python programming concepts for Data Science, such as NumPy, Pandas,  Matplotlib, Seaborn, etc.


    Data Science Techniques

    The second module in this Data Analytics Master's Program is Data Science Techniques, which builds upon the foundational knowledge acquired in the Foundations module, delving deeper into specialized techniques and methodologies used in advanced data analysis. It provides an expansive look at the analytical tools and techniques pivotal for extracting meaningful insights from data and creating viable data-driven solutions.


    In this Data Science and Analytics course, we will discuss advanced statistical techniques such as  Variance, Regression, and Dimension Reduction. 


    Predictive Modeling is a process to build a model that can predict data. This topic will focus on  various Predictive Modeling techniques used in Machine Learning. 


    Learners will gain a thorough understanding of Supervised and Unsupervised Learning  techniques, Decision Trees, Neural Networks, etc. 


    The next module focuses on all the Machine Learning techniques used in Data Science and  Business Analytics. 


    This block will teach learners how to predict future values based on the previously experimented  values. 


    This module will cover all the optimization techniques used in Deep Learning. 

    Domain Exposure

    This module is meticulously designed to expose learners to various sectors and industries where Data Analytics plays a pivotal role, ensuring a broad understanding and multifaceted perspective on real-world applications of Data Analytics. Whether optimizing supply chains, predicting market trends, or understanding customer behaviors, learners will be prepared to leverage Data Analytics to drive impactful decisions across domains.


    Gain an understanding of what ChatGPT is and how it works and delve into the implications of  ChatGPT for work, business, and education. Additionally, learn about prompt engineering and  how it can be used to fine-tune outputs for specific use cases. 


    This topic focuses on some basic terminologies used in marketing and delves into an  application of Retail Analytics. 


    This topic focuses on some basic terminologies used in Web and Social Media Analytics like  Google Analytics, Social Media Campaigns, Text Mining, etc. 


    This topic covers basic terms used in Finance & Risk Analytics like Credit Risk Models,  PD Models, Market Risk, etc. 


    Learners will be exposed to basic terms used in Supply Chain and Logistics Analytics like RNN,  Inventory Management, Forecasting, etc.

    Visualization and Insights

    This module is crucial in shaping our learners’ ability to communicate complex data findings clearly and effectively. It focuses on transforming raw data into visual narratives, allowing for more accessible interpretation and more informed decision-making processes. It emphasizes the importance of translating complex data analyses into understandable visual forms, enabling stakeholders to gain insights quickly and effectively.



    This module helps you understand Data Visualization using Tableau.

    Capstone Project

    Learners get their hands dirty with a real-time project under an industry expert’s guidance. The project covers everything from an introduction to Data Science and Data Analytics to complex concepts.


    Year 2

    In the second year of the MS in Data Science and Analytics Program, learners will be exposed to more specialized and advanced subjects of the field, allowing them to deepen their understanding and enhance their hands-on skills in Data Analytics. The curriculum for the second year is meticulously structured to cover a broad spectrum of themes, ensuring a well-rounded and comprehensive learning experience. By the end of the year, learners will be well-equipped with the advanced skills and knowledge needed to excel in their future careers in Data Science and Analytics.

    Data Storage Technologies

    Database storage technologies have transformed into complex systems that support knowledge management and decision support systems. This course takes a look at the foundations of database storage technologies. Students will learn about Database Storage Architecture, types of Database Storage Systems (legacy, current, and emerging), Physical Data Storage, Transaction  Management, Database Storage APIs, Data Warehousing, Governance, and Big Data Systems. The student will tie all this together to see how database storage technologies apply to Data Analytics.

    Principles of Data Analytics

    This course provides an overview of the knowledge that students gain successfully completing the MS Data Analytics curriculum. Each weekly session’s material presented focuses on one aspect of the principles of Data Analytics. The course acts as a roadmap with respect to an overview of the Data Analytics skill set students need to earn an MS.

    Prescriptive Analysis

    This course exposes the student to Prescriptive Analytics. It is used as a method of identifying competitive advantages in the enterprise by identifying the optimal solution. The students will learn how Prescriptive Analytics is used in business analytics and decision-making. Students will explore optimization and optimal decision-making models for the identification of optimal solutions.  Topics such as Simulation Modeling and multi-criteria decision-making are introduced. The students will be exposed to transformative findings that can be applied to make effective decisions. 


    Research Methods and Ethics

    The focus of this course is on exploring the three research method approaches: quantitative,  qualitative, and mix-method. Phases of research are discussed in detail with respect to identifying and translating research problems based on business needs into specific research questions,  developing hypotheses, determining independent and dependent research variables, and examining the validity and reliability of the research designs. Ethical considerations in research are deliberated considering APA and ASA ethics guidelines.

    Data Analytics Capstone

    The Capstone/Practicum Project provides the opportunity for integrating program learning within a project framework. Each student identifies or defines a professionally relevant need to be addressed that represents an opportunity to assimilate, integrate, or extend learning derived through the program. The student will work with the Capstone Project Advisor to develop a  proposal. After review and approval by the Capstone Project Advisor, the student is authorized to complete the project. The student presents the completed project at the end of the semester.

Languages and Tools covered

Python R Language Tableau SAS SQL KNIME Seaborn Statsmodels Learn NumPy Matplotlib Pandas

Meet the Faculty

  • faculty

    Javad Katibai

    Chassis System Architect - General Motors

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    Dr. Dave Schippers

    VP and Academic Dean

  • faculty

    James Gerrity

    PhD, Adjunct Associate Professor

  • faculty

    Thomas Petz

    CIO/COO, Assistant Professor of IT

  • faculty

    Dr. Abhinanda Sarkar

    Faculty Director, Great Learning

  • faculty

    Mr. Gurumoorthy Pattabiraman

    Faculty, Data Science & ML, Great Learning

  • faculty

    Dr. Kumar Muthuraman

    Faculty Director, Centre for Research and Analytics

  • faculty

    Dr. Dan Mitchell

    Assistant Professor, McCombs School of Business

Get The Walsh College Advantage

Walsh Campus exemplify a professional learning environment.
Connect with alumni at Student Involvement Fair, Student Life Night
Walsh organizes two career fairs each year

Get the Great Learning Advantage

  • 1

    Statement of purpose review

    We provide students with sample SOP formats to guide them in crafting a compelling SOP.

  • 2

    Application assistance

    Our counselors schedule video calls with learners and assist them in filling out the application accurately.

  • 3

    Extra sessions with industry experts

    Great Learning’s program team conducts additional doubt-clearing sessions with industry experts to provide learners with practical and in-depth knowledge.

  • 4

    I-20 and Visa process

    Great Learning assists students in securing their Financial Guarantee documents and applying for their I-20 from the university. Additionally, we offer support in scheduling Visa appointments and preparing for Visa interviews.*

    *View Disclaimer

Testimonials from the learners of Walsh College

  • Capstone project during the program was a wonderful experience and helped me immensely during my statistical modeling projects.

    Read more


    Senior Consultant, Fractal Analytics

  • This program allowed a blend of practical industry exposure and real-life capstone project along with domain knowledge through eminent faculty members and industry guests alike. Moreover, assignment-led assessent approach and a very robust LMS provided a thoroughly rewarding experience.

    Read more

    Amit Madan

    Country Manager, TransTechnology India Pvt. Ltd.

  • Great Learning is a reputed brand in the management space with a focus on practical experience. I did a compact yet quite powerful one-year program in Data Science and Analytics. The placement assistance during and after program completion helped many candidates.

    Read more

    Vilas Wakale

    Independent Consultant

Program Fees

Program Fees:
18,860 USD

We provide flexible financing options through our finance partners

Apply Now

Benefits of learning with us

  • Globally recognised hybrid mode of learning (first year online, second year on-campus in the US)
  • Get Alumni Status from Walsh College and Great Lakes Executive Learning
  • Quick Application with No GRE/GMAT or TOEFL Requirement
  • Capstone Projects at the end of Year 1 and Year 2
  • Learn from Top Faculty and Leading Industry Practitioners

Application Process

Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.


Apply Online

Fill out a fast and easy online application form. No additional tests or prerequisites are needed.



Our team will make contact with you by phone to confirm your eligibility for the program.


Application Assessment

If selected, you will receive an offer for the upcoming cohort. Secure your seat by paying the fee.


Join the program

If selected, you will receive an acceptance letter with instructions on how to pay and join the program.

Apply Now

Deadline: 15th Mar 2024


  • Applicants must hold a 3 or 4-year bachelor’s degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university or institution. The medium of instruction must be in English.
  • No GRE/GMAT or any English proficiency test scores are required.

Note: Candidates should score a minimum of 2.75 GPA in the 1st year to be eligible for 2nd year on campus at Walsh College.

Frequently Asked Questions

Frequently Asked Questions
What is the structure of the Data Analytics Master’s Program offered by Walsh College?

This esteemed program offers a holistic perspective on Data Science and Analytics and follows a hybrid format, combining both online and in-person learning. Below is the learning journey for this program:


  • Learners will pursue their 1st year in a fully online format delivered by Great Lakes.

  • After successfully completing the 1st year, candidates will commence their 2nd year and continue their learning journey on campus with the MS Data Analytics from Walsh College.

  • Successful learners will receive a Master’s certificate in Data Analytics from Walsh College.

  • With globally recognized credentials from leading universities, graduates of the MS Data Analytics from Walsh College become prime candidates for accelerated career progression in the Data Science and Analytics field.

What is the application process for the MS Data Analytics Program at Walsh College?

Great Learning provides end-to-end support for the Walsh College application process.


  • Step-1: Apply Online

Fill out a fast and easy online application form. No additional tests or prerequisites are needed.


  • Step-2: Pre-Screening

Our team will contact you by phone to confirm your eligibility for the program.


  • Step-3: Application Assessment

The Admissions Team will assess your application and provide a timely response.


  • Step-4: Join the Program

If selected, you will receive an acceptance letter with instructions on how to pay and join the program.

Note: Admission to the program is subject to Walsh College acceptance.

Are there any financial aid or scholarship opportunities available?

Yes. The program provides financial aid and scholarship opportunities for eligible students. Please reach out to your Program Advisor for more details.

What is the fee structure to apply for this Master’s in Data Analytics in the USA?

 Here is the fee structure for registration:


  • Year-1: INR 3,40,300 + 18% GST

  • Year-2: USD 13,860


You can save up to INR 45 LAKHS through this program, making it a cost-effective choice for pursuing a Master's in Data Analytics in the USA.

What visa options are available for international students in this Master of Science in Data Analytics in the USA?

International students can avail up to 3 years of STEM OPT VISA in the US, which provides a substantial amount of time for gaining practical experience in Data Analytics.

Can I pursue the MS in Data Analytics in the USA without a GRE?

Yes, at Walsh College, learners can pursue the MS in Data Analytics in the USA without any GRE requirement, making it a hassle-free choice for many international students.

What are the eligibility criteria for the Master’s in Data Analytics Program at Walsh College?

The eligibility criteria for this program are as follows:


  • Applicants must hold a 3 or 4-year bachelor’s degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university or institution. The medium of instruction must be in English.

  • No GRE/GMAT or any English proficiency test scores are required.


Note: Candidates should score a minimum of 2.75 GPA in the 1st year to be eligible for 2nd year on campus at Walsh College.

What support services are available for international students in this MS in Data Analytics, USA?

International students receive support services like counselling, statement of purpose (SOP) review, I-20 and visa assistance, and career services to help them transition smoothly into the program and later into the professional world.

How are the on-campus facilities and resources for the MS in Data Analytics students?

The on-campus experience in the second year provides access to state-of-the-art facilities, hands-on exercises, and networking opportunities with faculty, industry professionals, and fellow students.

What is the MS Data Analytics Program from Walsh College?

Walsh College, in collaboration with Great Lakes Executive Learning, offers a top-notch MS Data Analytics Program for recent graduates, early-career, and senior professionals who desire to boost their careers in this cutting-edge field.


The program equips learners with the skills needed to leverage advanced information management techniques, exposes them to real-world challenges, and helps them unlock the potential of data.

Who will be the faculty for this Master of Science in Data Analytics Program?

The faculty members are from Walsh College and Great Lakes. They are highly successful academic experts and practitioners in Data Science and Analytics.


Throughout your academic journey, the faculty's extensive research and theoretical expertise in this field will be crucial in helping learners cultivate a passion for data and prepare them for today’s workforce.

What skills, tools, and languages will I learn in this Master’s Program for Data Analytics?

Learners will develop various in-demand skills, tools, and languages in this program, including Python, R, Business Statistics, Tableau, SAS, SQL, NumPy, Pandas, Matplotlib, and Business Analytics, among several others

What are the learning outcomes of this Master’s in Data Analytics Program?

On successfully completing this program, learners will be able to:


  • Review and report on Data Science processing to understand data within a larger context.

  • Assess and improve Data Science systems to explore best practices, gaps, and areas for improvement.

  • Apply new-age Data Science techniques to solve real-world business problems.

  • Work on the entire Data Science pipeline from data mining and structuring to clustering and modelling.

  • Become an ideal Data Science innovator with the latest skills to extract actionable insights for growth.

Is there a capstone project in the MS in Data Analytics curriculum?

Yes. The curriculum includes projects at the end of Year 1 and Year 2 to provide practical experience and real-world problem-solving skills in Data Analytics

What is the curriculum for this MS in Data Analytics Program?

The MS in Data Analytics curriculum is structured to provide comprehensive knowledge and practical skills needed for a successful career in Data Analytics.


  • Year-1: 

    • Data Science Foundations

    • Data Science Techniques

    • Domain Exposure

    • Visualization and Insights


  • Year-2: 

    • Data Storage Technologies

    • Principles of Data Analytics

    • Prescriptive Analysis

    • Research Methods and Ethics


[Click here for detailed information -> MS in Data Analytics curriculum]

What are the key highlights of this Data Analytics MS Program from Walsh College?

The Data Analytics MS Program at Walsh College boasts several key highlights that make it an attractive choice for aspiring Data Analysts:


  1. Industry-Relevant Curriculum: The program offers a curriculum designed to provide learners with the knowledge and skills directly applicable to the Data Analytics industry, ensuring graduates are well-prepared for their careers.


  1. Top Faculty and Leading Industry Practitioners: Learners can learn from experienced faculty and industry professionals, gaining valuable insights from experts in the field.


  1. Practical Insights from Industry Experts: The program emphasizes practical learning, allowing learners to benefit from the real-world experiences and expertise of industry experts.


  1. Hands-On Projects and Case Studies: With over 8 hands-on projects and 16+ case studies, learners gain practical experience in solving Data Analytics challenges.


  1. Capstone Projects: The program includes capstone projects at the end of Year 1 and Year 2, offering learners the chance to apply their knowledge to real projects and demonstrate their skills.


  1. Alumni Status from Walsh College and Great Lakes: Graduates of the program receive alumni status from both Walsh College and the Great Lakes Executive Learning, expanding their professional network and opportunities.


  1. No GRE/GMAT or TOEFL Requirement: The program's streamlined application process eliminates the need for standardized tests, such as GRE, GMAT, IELTS, or TOEFL, making it accessible to a broader range of students.


  1. Up to 3 Years Post-Study Work/OPT Visa in the USA: International students can take advantage of the STEM OPT Visa, which provides an extended period (up to 3 years) of practical work experience in the United States.


  1. Savings up to INR 45 Lakhs: The program offers cost savings that can be significant, making it a financially attractive option for pursuing a master's degree in Data Analytics.


These highlights collectively contribute to the program's appeal, providing a well-rounded educational experience and strong support for learners in their Data Analytics careers.

How is the Great Lakes Institute? Is it a good choice to choose their programs?

Listed among India's top 10 business schools, Great Lakes is renowned for offering the best analytics education in the nation, aided by an exceptional faculty and advisory council. Learning Data Analytics from Great Lakes guarantees that learners will gain the reputation and acceptance of the industry as they strive to enhance their careers. Eminent faculty from prestigious international universities such as Harvard, Kellogg, and Stanford contribute to Great Lakes’ learning programs.


What are the accreditations of Walsh College?

Walsh College has been granted the legal authority to operate as a private, not-for-profit institution by the State of Michigan, Department of Labor and Economic Opportunity to grant bachelor’s, master’s, and doctoral degrees and certificate programs.

Walsh College is accredited by The Higher Learning Commission (HLC), a regional accreditation agency recognized by the U.S. Department of Education. It is an independent corporation and one of six regional institutional accreditors in the United States. The HLC accredited degree-granting post-secondary educational institutions in the North Central region.

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+1 248 430 6507

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Application Closes 15th Mar 2024

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The Market Trend for MS Data Analytics

The need for skilled Data Analytics professionals is more pronounced than ever, with industries from healthcare to finance and e-commerce to public policy increasingly relying on data-driven strategies for growth and innovation. The demand for these professionals is projected to grow in the coming years. As per the U.S. Bureau of Labor Statistics, the employment of Data Analysts is expected to grow by 23% from 2021 to 2031, faster than the average for many other occupations.


In an era where data is the new currency, the Master of Science (MS) in Data Analytics offered by Walsh College stands as a beacon for those aspiring to thrive in the rapidly evolving world of data science. This MS Data Analytics Program is meticulously designed to meet these market demands. The curriculum goes beyond theoretical knowledge, delving into practical, hands-on training in cutting-edge analytics tools and techniques. What sets the program apart is its focus on real-world application. The program ensures that graduates are not just data-savvy but also business-aware, making them valuable assets in any corporate setting. This is critical in today’s market, where businesses seek professionals who can bridge the gap between technical data skills and strategic decision-making.


About Master’s in Data Analytics from Walsh College

The Master’s in Data Analytics Program offered by Walsh College in collaboration with Great Lakes presents a comprehensive curriculum that covers essential information management principles and advanced applications of Data Analytics. This esteemed program provides a holistic perspective on Data Science and follows a hybrid format, combining both online and in-person learning. With a focus on practical experience, students engage in hands-on projects and benefit from mentorship sessions, ensuring an enriching learning journey.


The first year of the Data Analytics Master’s Program is offered in a fully online format by Walsh College in collaboration with Great Lakes. Post-completion, professionals can continue their 12-month learning journey on campus at Walsh College.


The program equips learners with the skills to leverage advanced information management techniques. It also exposes them to real-world challenges and helps them unlock the potential of data.


The Walsh College Advantage

Walsh is more than a business school. An accelerator. A think tank. An incubator for ideas. Since 1922, Walsh has combined theory and application to prepare students for successful careers.


With each of the internationally and nationally ranked business and technology bachelor’s and master’s degree programs at Walsh, students learn from proven business minds who have been there and done that.


  • Campus Life & Community
    The Walsh main campus in Troy is a 137,000-square-foot facility spread over 30 acres. The facilities are modern and exemplify a professional learning environment. The location has 22 classrooms, a library, five computer labs, and a conferencing space. 

  • Student Life
    Student Life provides endless opportunities for you to make the most of your Walsh experience, including workshops, tours of local companies, social events, and more. Connect with students, staff, and alumni at on-campus events such as the Student Involvement Fair, Student Life Night, and International Day. Learn about current business topics at monthly guest speaker events. Develop your leadership skills by becoming a part of the student organizations.

  • Career Services
    The Career Services Department at Walsh organizes two career fairs each year, exclusively for current students, credit students, and alumni. The career fair is an excellent opportunity for employers to meet with Walsh students and alumni to discuss full-time, part-time, and internship opportunities. Learners may also avail assistance with resume preparation, job search techniques, practice interviews, and general career advice.


Job Opportunities After Completing MS in Data Analytics in the US

The MS Data Analytics Program graduates from Walsh College enter a job market ripe with opportunities. In the United States, the landscape of careers in Data Analytics is vast and diverse, offering roles that span various industries and functions. This diversity is a testament to data's integral part in modern business operations.


  1. Data Analyst: In this essential role, Data Analysts gather and interpret large datasets to provide actionable insights for business decision-making. They are skilled in data manipulation and analysis, using tools like SQL and Python, and are instrumental in identifying trends and patterns. Their work supports various departments within an organization, making the role versatile and in-demand across multiple industries.

  2. Data Scientist: Often considered the 'rock stars' of the data world, Data Scientists are in high demand. These professionals are skilled in interpreting complex data to help businesses make more strategic decisions. The role involves a combination of statistical analysis, machine learning, data mining, and strong communication skills to translate data insights into actionable business strategies.

  3. Business Intelligence Analyst: These analysts analyze data to provide actionable insights for business decisions. They are crucial in understanding market trends, assessing business operations, and making recommendations based on data-driven insights. Their expertise helps organizations improve efficiency, increase profits, and identify market opportunities.

  4. Data Engineer: Data Engineers lay the groundwork for data analysis. They are responsible for designing, building, and maintaining the architecture used in data processing. This role is crucial as the quality and structure of data greatly influence the effectiveness of data analysis.

  5. Data Consultant: For those who prefer varied challenges, a role as a Data Consultant could be appealing. These professionals work with different companies, helping them solve complex problems using data. This role requires not just technical skills but also strong problem-solving and communication abilities.

  6. Machine Learning Engineer: As AI continues to grow, so does the demand for Machine Learning Engineers. These specialists develop algorithms that enable machines to learn from and interpret data, creating systems that can perform tasks without being explicitly programmed.

  7. Marketing Analyst: These professionals use data to understand market trends, consumer behaviour, and campaign performance. They provide insights that help design effective marketing strategies, enhance customer engagement, and boost sales.

  8. Healthcare Data Analyst: With the healthcare industry increasingly turning to data for decision-making, these analysts play a pivotal role in improving patient outcomes and operational efficiency. They analyze clinical data, patient records, and health trends to aid in medical research and healthcare administration.


The MS Data Analytics from Walsh College not only equips students with technical data skills but also fosters critical thinking, problem-solving, and effective communication skills. These abilities are essential in navigating the diverse and ever-changing landscape of data analytics careers. As the reliance on data continues to grow, graduates with an MS in Data Analytics will find themselves at the forefront of a field shaping the future of industries across the US.