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MS in Data Analytics

MS in Data Analytics

Harness the power of Data Analytics skills for your career with our Master's program.

Scholarships Available till 9th Nov 2024

  • Program Overview
  • Curriculum
  • Certificate
  • Tools
  • Success Stories
  • Faculty
  • Career Support
  • Fees
  • FAQs

Why choose this Master’s in Data Analytics Program?

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    Study On-campus in USA

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    Learn with students from 80+ Countries

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    Alumni network of 40,000 members

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    9:1 Student-to-faculty Ratio

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    Save upto USD 32,530 compared
    to full-time Master’s

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    Dedicated Program Manager

  • #38 Best Value Schools

    #38 Best Value Schools

  • Top 5 National Universities

    Top 5 National Universities

    with ~3,000 enrollments

  • AACSB International Accredited

    AACSB International Accredited

  • Best Value College

    Best Value College

    Best Northeastern

  • Ranked a QS Top University

    Ranked a QS Top University

    World University Rankings

Skills you will learn

  • Data Science
  • Data Analytics
  • Machine Learning
  • advanced statistical analysis
  • data mining
  • data warehousing

Our alumni work at top companies

About MS in Data Analytics in USA

Clark University's MS Data Analytics is a comprehensive study abroad course. It offers a holistic approach to data science and covers essential concepts. This program is in collaboration with Great Learning and allows you to study MS in the US without GRE/GMAT. The program follows a hybrid format that integrates online and in-person learning. You will engage in hands-on projects and receive mentorship sessions. This will be a rewarding learning journey as you earn a degree from Clark University and up to a 3 Years Post-Study Work/OPT visa in the USA.

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What is a Data Analytics Masters Program?

This is an MS in Data Analytics in the USA without GRE/GMAT. This course provides comprehensive learning about the field. It helps you learn the foundations and advanced concepts of data analytics. Learning in-demand skills and tools boosts your career prospects.

What is the program’s format?

This program follows a hybrid format. It integrates online and in-person learning, strongly emphasizing hands-on projects.
  • 8 months, fully online format by Great Lakes Executive Learning
  • 12 months, on-campus classes at Clark University, USA

What are the program's highlights?

Here are some Program Highlights:
  • 20-Month Program
  • Up to 3 Years Post-Study Work/OPT Visa in USA
  • Learn from Top Faculty and Leading Industry Practitioners
  • No requirement for GRE/GMAT
  • Save Up to USD 32,530 for an Equivalent Fully On-campus Degree from USA
  • Get Practical Insights from Industry Experts
  • Alumni Status from Clark University

Am I eligible for this Data Analytics course?

You need to fulfill the MS in Data Analytics in USA requirements for admission into this program:
  • Applicants with a 4-year bachelor's degree need to have a minimum of 66% marks. The maximum backlogs (ATKTs) accepted will be 6.
  • Applicants with a 3-year bachelor's degree need to have a minimum of 60% marks. The maximum backlogs (ATKTs) accepted will be 4. The awarding University must be NAAC A or A+ (in the year 2019/2020/2021). The applicant must have a Science background or relevant work experience.
  • Applicants should score a minimum of 3.0 GPA in each course and aggregate in the online part of the program.
  • No requirement for GRE/GMAT test scores.
  • Applicants must pass an English Proficiency Test, such as IELTS, TOEFL, Duolingo, or PTE.

Who is this program for?

You are eligible for the program if you are:
  • A young, early-career professional looking to start a data science career abroad.
  • A mid- and senior-level professional looking to stay up-to-date with the latest skills.
  • A professional looking to switch to a data science career with industry-ready skills.

What skill sets do you require for data analytics?

The specific skill set for data analytics depends on the type of industry and role you are in. A general skill set you require to be a data analyst is:
  • Mathematics
  • Statistics
  • Programming
  • Data Wrangling
  • Database Management
  • Data Visualization
  • Communication
  • Critical thinking and problem-solving
  • Collaboration
  • Basics of machine learning, big data technology, and specific domain knowledge.

What are the upcoming intakes in USA?

These are the upcoming intakes for the data science courses in the USA (2024):
  • Fall intake (September/Autumn): The application time is from September to December. Primary intake, with the most course options and opportunities.
  • Spring intake (January): The application duration is January–May. A great secondary option with ample course selections
  • Summer intake (May): The application duration starts around May. It is ideal for short courses or early starts.
For exact application deadlines, you can contact our admissions team.

What modules will I study after joining Clark University's Data Analytics Program?

The program follows a hybrid format with 8 months of online and 12 months of on-campus learning. You will study these modules:

Online Modules
  • Business Statistics
  • Python Programming for Data Science
  • Business Intelligence, Data Visualization, and Data Management using SQL
  • Machine Learning

On-Campus (Includes mandatory and elective courses)

Core Courses (Mandatory)
  • Mathematical Statistics
  • Linear Regression and Time Series
  • Python Programming*
  • Data Management for Information Technology
  • Fundamentals of Data Engineering
  • Data Mining With Splunk
  • Applied Machine Learning*
  • Data Visualization and Storytelling

Elective Courses (Choose any 2)
  • Research and Marketing Analytics
  • IoT: Securing Communication Technologies through Data Analysis
  • Applied Deep Learning
  • Health Data and Record Systems
  • Special Topics: Data Analytics (Fall 2023 - Deep Learning, Spring 2024 - Applied Natural Language Processing)
  • Health Informatics
  • Independent Study
  • Capstone Practicum

Note-
*Please note that we are waiving these courses
The curriculum is indicative

What is the future of Data Analytics? Does MS in Data Analytics have more scope?

Data is the future. Businesses across industries use Data and Business Analytics to optimize their operations and grow.

The global DA market is expected to reach USD 302.01 billion by 2030 (Source: Precedence Research). Thus, making it one of the most sought-after fields globally. That is why data analytics courses in the USA are great for your career.

Is it worth doing a Masters degree in Data Analytics in the US?

To speed up your data analytics career, you should enroll in a Master's program in Data analytics in the US.
Doing a Master's in Data Analytics in the USA is worth it. The starting salary of Data Scientists in the United States is $1,24,000 (Indeed.com). It can give you an edge over your competitors and kickstart your career in data science

Why should you study in the USA?

Studying in the USA adds value to your resume, career, and personal development as well. Here are some of the reasons why you should study in the USA:
  • Quality higher education: In the USA, you get high-quality education with cutting-edge technologies. Earning a degree from a prestigious US institution helps you grow your career to the next level.
  • Experience Diversity: Studying at a US university will introduce you to various cultures. You will be able to build new connections and develop a diverse perspective.
  • Practical learning: US universities focus on projects, internships, and research. This will help create practical skills that are useful in the workplace.
  • Career Opportunities: A degree in the USA will open doors for job opportunities. The starting salaries in the US are also higher than in most countries.
  • Improved lifestyle: Many people study in the US to improve their lifestyle. They want to switch to a better lifestyle and personal development.

Unlock Boundless opportunities

Key benefits of Studying in USA

  • Global University Excellence

    Study at some of the leading universities in the world

  • Innovative Faculty Connections

    Interact with faculty with leading innovation hubs

  • Post-Study Work Flexibility

    Work in America with up to 3 year post-study work visa

  • Cultural Diversity Enhancement

    Get exposure to diverse cultures, enhancing your global perspective

Discover Worcester Your Academic Destination

A city in Massachusetts known for its vibrant economy, diverse industries, and innovation ecosystem.

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    The Worcester area's innovation economy is supported by strong clusters of advanced manufacturing, robotics, biotech, biomanufacturing, computer sciences, and other high-tech sectors.

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    Work in Google, Amazon, Microsoft, HubSpot and new tech startups

Program Curriculum

Clark University and Great Lakes Executive Learning offer a comprehensive curriculum for this study abroad course. It begins with online modules and proceeds to core and elective courses in the US. This curriculum will give you deep insights into the latest data science and analytics techniques. NOTE: Applicants should score a minimum of 3.0 GPA in each course and in aggregate in the online program in order to progress to the on-campus program. Learners also need to complete an approved non-credit Internship to graduate. The below curriculum is tentative and subject to change.

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ONLINE- 8 months

 

  • Business Statistics
    Learn to apply statistical methods in a business context to address business problems. The course includes probability and inferential statistics. It will help you analyze data distributions and apply hypothesis tests in different scenarios. This will help you make evidence-based decisions in business.
     
  • Python Programming for Data Science
    Become familiar with the fundamentals of Python programming, its libraries, and packages. Python is a widely used programming language for data science. In this course, you will be able to use data to read, manipulate, analyze, and solve business problems. Learn different techniques to make computations, manipulate, and visualize data.
     
  • Business Intelligence, Data Visualization and Data Management using SQL
    Acquire skills to write complex, efficient queries that fetch data using SQL. Learn to communicate the insights by visual storytelling using Tableau. By the end of this course, you will be able to create visually appealing storyboards. You will use these storyboards to convey insights from data.
     
  • Machine Learning
    Grasp the basics of ML and apply Machine Learning models to solve business problems. In this course, you will learn to process data for modeling and use it to identify patterns. You will also learn to use tuning algorithms to gain business insights

 

ON-CAMPUS - 12 months

Core Courses (Mandatory)

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  • Mathematical Statistics
    In this module, get an introduction to fundamental statistical analysis. You will get access to on-campus lectures and practical problem-solving sessions.
     
  • Linear Regression and Time Series
    Build an overview of linear regression and time series analysis. This course will help you understand data analysis and its interpretation.
    Learn the relationships between dependent and independent variables. You will also study time series analysis to see changes in data over time. It helps predict future trends.
     
  • Python Programming* 
    This is an elective course that helps you enhance your knowledge of Python. Python is one of the most prevalent languages and is beneficial for IT professionals. In this course, you will learn about Python principles and their practical applications.
    This course benefits those seeking data management and IT/cyber data analysis careers. It includes case studies. These case studies focus on using Python learning to extract and analyze data. 
     
  • Data Management for Information Technology
    In this course, you will learn about the principles of data management, visualization, data mining, and AIML. You can apply these principles to enterprise intelligence. This will end up improving business performance and bring competitive advantage.
     
  • Fundamentals of Data Engineering
    This module provides an in-depth knowledge of data warehouse principles and concepts. Hands-on exercises will teach you to build prototypes, structures, and tables using the ETL process. ETL stands for Extract, Transform, and Load.
    In this course, you will learn to use SQL. You will also learn use of Business Intelligence (BI) tools to find patterns in data. Get a brief introduction to cloud data platforms and the modern data management ecosystem.
     
  • Data Mining With Splunk
    Become familiar with the key concepts of business intelligence and Splunk Enterprise architecture. Work on hands-on sessions to learn it better. The course includes mining machine data, identifying data patterns, and creating Splunk reports.
    Splunk Enterprise is a platform that can harness and leverage valuable machine data. It helps enterprises with valuable business, operational, and security intelligence.
     
  • Applied Machine Learning*
    This course investigates the fundamental technical aspects and practices of Machine Learning. You will receive lectures, lab sessions, written assignments, and programming projects. These will help you apply ML to practical problems in Data Science using Python. You will also receive an introduction to some fundamental theories of ML.
     
  • Data Visualization and Storytelling  
    Learn how organizations make frequent and quick business decisions. In this course, you will understand the critical role of business intelligence in processing large amounts of data. You will also gain hands-on experience with Tableau to visualize data and derive meaningful insights.
    ​​​​​​​

*These courses are waived off.

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Elective Courses (Choose any 2)

  • Research and Marketing Analytics
    Explore marketing research, a tool that helps make sound marketing decisions for the business. Learn to make these decisions after gathering and analyzing the data. This course will cover topics like segmentation, targeting, positioning, pricing decisions, and more.
     
  • IoT: Securing Communication Technologies through Data Analysis
    In this module, learn about design considerations, communication and networking technologies. You will also become familiar with the data analytics platforms. Know about IoT and its role in industries. 
    Understand the security issues that come with the rapid growth of IoT technology. Equip knowledge and skills to secure IoT systems by learning to use data analytics to improve their security.
     
  • Applied Deep Learning
    Get a comprehensive education experience on deep learning applications in domains like image recognition, NLP, and sequential data analysis. Learn to leverage deep learning techniques in data analytics through hands-on applications. By completing this course, you will become proficient in practical coding skills. You will be able to use strategies for data-driven decision-making and complex problem-solving.
     
  • Health Data and Record Systems
    Get an overview of the healthcare data landscape. Get aware of the history of the digital healthcare industry, and IT infrastructure. Learn about the opportunities in the health sector. Understand the usage of data sources with big data methods that impact healthcare positively.
     
  • Special Topics: Data Analytics
    Special topics are the current topics in data analytics. These topics can vary from semester to semester. You might also get the same course for credit if they are different.

    Fall 2023 - Deep Learning- This course covers modern artificial intelligence algorithms based on deep neural networks. Starting with the basics of statistics and mathematics, it follows with in-depth knowledge. You will study different types of neural network architectures and their training algorithms. The course introduces the basic concepts of NLP and its usage in deep neural architectures. You will have access to several recent research papers and a comprehensive research project in the lectures.

    Spring 2024 - Applied Natural Language Processing- This course will introduce you to Natural language processing (NLP). NLP is a rapidly advancing domain. Its applications are notable across various domains, such as academia, government, and industries.You will understand the generative and non-generative models in NLP, their strengths, weaknesses, and use cases. Also, learn how these models function, their mechanisms, and their practical implications. The course highlights NLP's core issues and resolutions. It provides an understanding of computers' methodologies for interpreting and producing human language. This will be an interactive lecture series, and active student involvement is important.

    Note: You should do weekly prescribed readings to help you with lectures. All course content will be accessible via the online learning management system (LMS).
     
  • Health Informatics
    Learn to approach practical health informatics applications within the healthcare industry. This might include physicians, hospitals, insurers, government agencies, research institutions, pharma, and more. In this course, you will understand how to conduct research and identify trends in health records. You will also learn to evaluate healthcare operations and measure healthcare financial performance.
     
  • Independent Study
    To pursue independent study, you must contact your advisor before registration begins. The advisor will work with you to discuss and develop a substantive proposal. The proposal will include a short synopsis of the proposed study, assignments, a bibliography, and a description of the deliverables.
    The advisor approves the final version of the completed Independent Study form. It is then attached to a proposal. You must also add a detailed syllabus to the proposal. Forward the independent study form to the Assistant Dean for review and approval.
    The Registrar's Office will email you the CRN (course registration number). You are responsible for registering for online independent study. You can only submit these proposals for independent study during the first week of registration.
     
  • Capstone Practicum
    This is the practical section of the course. It integrates the coursework of the MSDA program into a practical application. Under the supervision of a faculty instructor, you will address an actual challenge. This actual challenge can be the real challenge that an organization faces.
    You need to study the issues, review the industry and trends, and research the problem. You will also make recommendations to the organization's key members. In the end, you will have to make a formal written presentation. The faculty and organization professionals will review the final version of the presentation. 

Degree from Clark University

Masters of Science in Data Analytics from Clark University

When you complete the course, the university rewards you with the MS in Data Analytics degree

Great lakes certificate

* Image for illustration only. Certificate subject to change.

  • #38 Best Value Schools

    #38 Best Value Schools

  • Top 5 National Universities

    Top 5 National Universities

    with ~3,000 enrollments

  • AACSB International Accredited

    AACSB International Accredited

Industry relevant syllabus

Learn top in-demand tools

Master these in-demand skills used by professionals worldwide to land your dream job.

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    NumPy

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    Scikit-learn

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    Pandas

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    TensorFlow

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    Matplotlib

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    Keras

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    Seaborn

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    Tableau

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    Splunk

Meet the Faculty

Meet our experienced and top-notch faculty. They will teach you the core concepts of Data Analytics.

  • Richard Aroian - Faculty Director

    Richard Aroian

    Richard Aroian is a Part-time Instructor and Assistant Dean at SPS. Additionally, he holds the role of Executive Director of Corporate Outreach, where he focuses on STEM programs. With a passion for connecting academia and industry, he spearheads initiatives that bridge the gap between education and real-world applications, ensuring impactful and relevant learning experiences.

    Read more

  • Laura Myers - Faculty Director

    Laura Myers

    Laura Myers is a dedicated part-time instructor at SPS, known for fostering dynamic learning environments. With a passion for innovative teaching methods, she consistently engages students to enhance their learning experience and practical skillset.

    Read more

  • Dean Cascione - Faculty Director

    Dean Cascione

    Dean Cascione serves as a part-time instructor at the School of Management, where he brings a wealth of practical insights to the classroom. With a focus on enriching students' understanding, Dean ensures that theoretical concepts are grounded in real-world application, preparing students for success in their careers.

    Read more

  • Siu Ming Luie - Faculty Director

    Siu Ming Luie

    Siu Ming Luie holds the roles of part-time instructor and Associate Dean at SPS, focusing on faculty affairs. Committed to academic excellence, Siu Ming Luie strives to enhance faculty development while imparting valuable knowledge to students, fostering a supportive and engaging academic community.

    Read more

  • Julie Frechette - Faculty Director

    Julie Frechette

    Julie Frechette is a part-time instructor and Program Lead for the MS Communication program at SPS. With a dedication to shaping the communication professionals of tomorrow, Julie combines academic rigor with practical relevance, preparing students for diverse career paths in the field of communication.

    Read more

  • David Jordan - Faculty Director

    David Jordan

    Dean, School of Business

  • David Hofstetter - Faculty Director

    David Hofstetter

    David Hofstetter is a part-time instructor at SPS, focusing on equipping students with practical skills and industry relevance. With a commitment to empowering students for success in the competitive job market, David fosters a supportive learning environment where students can thrive and excel.

    Read more

  • Kerry Morris - Faculty Director

    Kerry Morris

    Kerry Morris is a dedicated part-time instructor at SPS, known for enriching students' learning with real-world insights. With a focus on fostering a supportive environment, Kerry empowers students to excel academically and professionally, preparing them for future success in their chosen fields.

    Read more

Note: The above faculty list is indicative

Get The Clark University Advantage

Get access to a wealth of career resources and programs using your Clark University email to enhance your professional pursuits.

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    ClarkCONNECT - Connecting 6,000+ students, alumni & faculty

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    Forage - Bridge between education & career success offering job simulations

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    Handshake - Career management platform to connect with employers

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    Big Interview - Online platform to aid interview preparation.

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    In-person and virtual coaching

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    Personalized guidance

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    Resume and interview preparations

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    Over 3,000 students representing 80+ Countries

Get the Great Learning Advantage

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    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.

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    Application assistance

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

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    Statement of purpose review

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

Program Fees

The program fee constitutes of two parts:

8 month Online FeeUSD 6,000

+

12 months On-campus fee (in US)*USD 17,052

*The tuition fee is subject to change based on university's regulations.

Apply Now

Benefits of learning with us

  • Upto 3 years STEM OPT VISA in the US
  • Save upto USD 32,530
  • Globally recognised hybrid mode of learning (first 8-months online, second year on-campus in the US)
  • Quick Application with No GRE/GMAT Requirement
  • Get Alumni Status from Clark University

Application process

Go through our admissions process. The number of seats are limited. Apply early to secure your seats.

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    1. Apply Online

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

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    2. Pre-Screening

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

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    3. Application Assessment

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

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    4. Join the program

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

Batch Start Date

Frequently asked questions

Frequently Asked Questions

What is this MS in data analytics program all about?


Clark University offers this Master of Science in Data Analytics. The program is in collaboration with Great Learning. The program is in a hybrid format and focuses on the advanced application of Data Analytics.

 

What is the total duration of the program? What format is it?


The total duration of the program is 20 months. The program is in a hybrid format.

Who would be teaching me this program?


Top faculty and leading industry practitioners will be teaching you this program. This faculty has expertise in different fields. They will help you gain knowledge and practical insights.

What prerequisites do I have to follow for admission to the program?

These are the prerequisites you need to get admission into this program:
 

  • Clear an English Proficiency Test (EPT) (IELTS or TOEFL or Duolingo or PTE Tests).
     

  • Score a minimum of 3.0 GPA in each course and in aggregate in the online part of the program.
     

  • Applicants with a 4-year bachelor's degree need to have a minimum of 66% marks. The maximum backlogs (ATKTs) accepted will be 6.
     

  • Applicants with a 3-year bachelor's degree need to have a minimum of 60% marks. The maximum backlogs (ATKTs) accepted will be 4.
     

Note: The awarding University must be NAAC A or A+ (2019/2020/2021). The applicant should be from a Science background i.e. BCA/B.Sc/BIT. He or she should have substantial work experience in relevant areas.

  •  

What admission process do I have to follow? Can I apply online for this program?

Yes, you can apply online for the program. Here is the process of the admission:
 

1: Apply online: Fill out a fast and easy online application form.

2: Pre-screening: Our team will call you to confirm whether you are eligible for the program.

3: Application Assessment: The admissions team will assess your application. After that, they will provide a timely response.

4: Join the program: You will receive an acceptance letter if the team selects you for the program. You will also get instructions on how to pay and join the program

What kind of job opportunities can I expect after completing this program?

After completing this program, you can expect job opportunities such as:
 

  • Data Analyst,

  • Data Scientist,

  • Business Analyst,

  • Financial Analyst, and more.

Salaries vary based on location, company, experience, and specific job roles.

 

What is the visa application process for this program?

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

*Please note: Once Clark University accepts your candidature, advisors will coordinate and facilitate your fee financing, I-20, and Visa application process in the 1st year.
 

For more details on the visa process, please contact the admissions team.

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Is this MS in DA course a STEM course?

Yes. Data Analytics is a STEM course in the USA. The graduates qualify for up to 3 years of OPT (Optional Practical Training) visa in the USA. This is a benefit generally present with STEM courses.
 

Contact the program advisor for more information and clarity.

Do I need coding skills for Data Analytics?

It's good to have coding skills if you are a data analyst, but it depends on your role, too. Some entry-level jobs and positions do not require coding. But most roles do.
 

Having coding knowledge increases your job opportunities. You become more competitive in the field.

 

 

What if my question is not here?


If you don't find your answer to these questions, please speak to a Program Advisor at 08069474542. You can also email us at clark.msda@mygreatlearning.com

 

Still have queries? Let’s Connect

Get in touch with our Program Advisors & get your queries clarified.

Speak with our expert +1 508 501 7096 or email to msda.clark@mygreatlearning.com

career guidance