Application closes on
23rd Jul 2026
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Application closes 23rd Jul 2026
Learn from Texas McCombs faculty & industry experts through recorded lectures & live mentorship sessions & build practical expertise through hands-on projects and case studies using latest tools
Learn from a top U.S. business school, ranked #1 in Information Systems, #6 for Master’s in Business Analytics, #7 in Artificial Intelligence, and #9 in Business Analytics in the U.S.
Program Outcomes
Through a structured learning journey, you will build the capability to:
Build analytical proficiency to turn raw data into decision-ready business insights.
Query, clean, transform, and analyze data using SQL, Python, Excel, and visualization tools.
Translate ambiguous business problems into structured analytics project plans and workflows.
Use GenAI to accelerate coding, analysis, workflow automation, and insight synthesis.
Build GenAI workflows using prompts, embeddings, vector databases, and RAG concepts.
Create dashboards, business narratives, and a GitHub/e-portfolio of hands-on analytics and AI projects.
#1 (U.S., Big Data Management) in MS Business Analytic
Eduniversal (2025)
#6 Analytics
U.S. News & World Report (2025)
#6 Business Programs
U.S. News & World Report (2025)
#7 in MS - Business Analytics
QS World University Rankings (2022)
#7 in MS Business Analytics
The Financial Engineer Times (2025)
#3 in Information Systems Graduate Programs
U.S. News & World Report (April 2025)
#7 Public University in the U.S.
U.S. News & World Report, 2026
#6 in Executive Education - Custom Programs
Financial Times, 2022
Key program highlights
Build core foundations through recorded lectures that connect analytics, AI, and business applications.
Discuss case studies, see practical demos, clarify doubts, and understand how AI is applied in real-world workflows.
Learn SQL, Python, Power BI, GenAI, and AI-enabled workflows to analyze data, automate tasks, and support business decisions.
Get focused training aligned with the Microsoft PL-300: Power BI Data Analyst certification exam.
Create an industry-ready portfolio of projects and case studies that demonstrate practical analytics and AI skills.
Receive guidance from a dedicated Program Manager, academic support, discussion forums, peer groups, and the Great Learning community.
Earn a Certificate of Completion and 4.5 Continuing Education Units from the McCombs School of Business at The University of Texas at Austin upon program completion.
Skills you will learn
Professionals looking to develop essential data analytics skills.
Early-Career Professionals
Build job-ready analytics and AI skills for roles in Data Analytics, Business Intelligence, and AI-enabled decision-making.
Career Transitioners
Develop the technical and analytical foundation needed to move into high-growth data and AI careers.
Business and Functional Experts
Leverage analytics and GenAI to automate workflows, uncover insights, and make data-driven decisions within your function.
Data and Analytics Practitioners
Enhance your existing analytics expertise with modern AI tools, GenAI workflows, and advanced data storytelling techniques.
Build strategic judgement and human intuition with our unique structured learning approach.
Learn from Texas McCombs faculty and industry experts to master AI strategy and implementation.
Work on business problems & case studies using 9+ tools & build an e-portfolio of AI projects
Earn a certificate of completion and 4.5 Continuing Education Units (CEUs) from Texas McCombs.
Program managers will help you stay on track, navigate key milestones & complete the program
Ace PL-300 certification*
Prepare for PL-300 Certification Exam with:
*Delivered by Great Learning in collaboration with Microsoft
Designed by Texas McCombs, the program helps learners turn data-driven insights and AI-enabled workflows into business impact. Learners gain hands-on experience solving business problems, creating dashboards, automating analysis, validating AI outputs, and presenting insights that support real-world decision-making.
The curriculum for the Data Analytics Essentials program aims to familiarize learners with key data analytics concepts and tools, helping them build a strong foundation for a career in Data Analytics and data science.
This curriculum for the training program is optimally designed to equip learners with all the necessary skills to successfully clear Microsoft's PL-300 certification exam.
This module is designed to build practical capability in applying Generative AI and Agentic AI using the Claude ecosystem in real-world contexts. Learners build the ability to design, execute, and evaluate AI-driven workflows for real-world applications, supported by ~5 hours of structured learning. *Disclaimer: Claude API access is not included as part of the program. Learners may explore advanced usage independently.
Learn how to read, explore, and visualize data effectively using Tableau while building the ability to create interactive dashboards and communicate insights through clear, compelling data stories. Strengthen your storytelling with data skills by turning raw datasets into meaningful narratives that support business decisions.
Learn the fundamentals of Agentic AI and understand how intelligent systems can autonomously solve complex business problems. This self-paced masterclass introduces the need for multi-agent systems and walks you through a hands-on demonstration of how multiple AI agents collaborate to execute real-world tasks efficiently.
Work on real-world case studies across industries & functions using 9+ tools and technologies.
20
learners group
2-way
audio-video interaction
4
Hands-on projects
Health Insurance
Description
Health insurance companies process millions of medical claims each year. A significant portion of operational costs arises from claim denials, delayed processing, and rework. Repeated submissions, documentation issues, and provider-specific patterns can lead to higher operational expenses and longer turnaround times.
Skills you will learn
Finance
Description
Credit card businesses rely heavily on customer retention, where revenue is driven by customers who continue using their cards over time. Even small increases in churn can lead to significant revenue losses due to reduced spending, lower interchange revenue, loss of fee and interest income, and higher customer acquisition costs.
Skills you will learn
Sales
Description
Sales leadership often lacks visibility into the quality of sales conversations. While outcomes such as closed or lost deals are known, the reasons behind them are often unclear. Identify whether sales representatives effectively communicate key value propositions, where conversations break down, and how product friction points mentioned in calls correlate with lost deals.
Skills you will learn
Learn to leverage tools like Claude, SQL, Power BI, and more to build and optimize AI models and workflows
Python
Gemini
LangChain
Excel
SQL
DSPy
Power BI
Tableau
Stand out in a competitive market with a verified certificate in Data Analytics Essentials Program that validates your expertise through rigorous, practical assessments
* Image for illustration only. Certificate subject to change.
Learn from renowned Texas McCombs faculty and build technical intuition to make credible, strategic decisions.
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Senior Data Scientist
Expert in advanced analytics and evidence-based decision-making.
Extensive experience consulting for Fortune 500 companies.
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Faculty Director, McCombs School of Business, The University of Texas at Austin
Faculty Director, Center for Analytics and Transformative Technologies
21+ years' experience in AI, ML, Deep Learning, and NLP.
Co-Founder and Director
Expert in data visualization and marketing econometrics with 10+ years
Qualified Tableau trainer passionate about teaching business analytics
Co-Founder & Director, Wilson Consulting
10+ years of expertise in statistics, programming, and machine learning.
PhD. from the Wharton School, University of Pennsylvania
Clinical Assistant Professor, McCombs School of Business, The University of Texas at Austin
Ph.D. in Information, Risk, and Operations Management
15+ years of experience in financial engineering
Learn from seasoned industry mentors in weekly live sessions to apply concepts and build practical skills.
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Learners share their feedback on the faculty, mentors, hands-on projects, and overall learning experience.
"The Program Manager's incredible support was critical to my success."
My experience with the Online Data Analytics Essentials Program has been exceptional. I am particularly appreciative of the support provided by my Program Manager, who has been incredible with professional, timely, and courteous responses that have been critical to my success throughout the course. The teaching methodologies were comprehensive and well-paced, and I especially valued the additional learning materials, which were easy to access and highly relevant. The Olympus platform is intuitive and made accessing content and tracking progress effortless. The evaluations were challenging and well-structured, providing a clear measure of my professional growth. I highly recommend this program to anyone seeking a rigorous and supported path into Data Analytics.
Read More
CFO , Msk Enterprises, Inc.
4th May 2026
"I highly recommend the Online Data Analytics Essentials Program for career boosting."
I highly recommend the Online Data Analytics Essentials Program for anyone who is transitioning to a career in Data Analytics or simply wants to boost their career. The program is self-paced, and the classes are dynamic, logical, and easy to follow. The weekend tutoring sessions summarize and clarify questions from the week's online content. I also want to highlight the great job done by the Program Manager, who provides seamless support throughout the journey.
Read More
, Mediterranean Shipping Company
26th Mar 2026
"Well-structured program makes complex topics easy to understand."
My experience with the Online Data Analytics Essentials Program has been very positive. The program is well-structured and makes complex topics easy to understand. I have gained valuable knowledge, improved my problem-solving skills, and feel more confident applying what I have learned. Overall, it has been a great step in my journey toward a tech career, and I would recommend it to others.
Read More
,
24th Mar 2026
"The Online Data Analytics Essentials Program has great mentors and supportive staff."
The Online Data Analytics Essentials Program is good. Mentors are great and the support team is also very supportive. I do recommend it to others who are looking for courses in this area.
Read More
, Nityo Infotech
16th Mar 2026
"The program's design and detailed instruction make it an excellent learning experience."
The Online Data Analytics Essentials Program has a great design. The MLS instructors and recorded video instructors explain everything so well in detail and with patience. The Program Manager is very helpful in guiding learners, answering all questions, directing them to the right technical person, and making sure issues are addressed on time. My one suggestion is to provide notes of recorded videos, but overall it is an excellent program.
Read More
,
15th Mar 2026
"The instruction by the mentors is first class."
The Online Data Analytics Essentials Program by UT Business School has been very fulfilling. This course is very well organized, and follow-up by the Program Manager is timely and informative. The instruction by the mentors is first class. I am very impressed with how well thought out the class has been, not only with the coursework but also the material and the platform for executing assignments. I highly recommend this program to anyone wanting to improve their Data Analytics skills or simply wanting to learn more about the applications and their use.
Read More
SCADA/OT Advisor , Western Midstream
19th Feb 2026
The instructors were very knowledgeable and encouraging.
I was part of the October 2025 cohort for the Online Data Analytics Essentials Program. The program was well structured with great timing of the presentations, taking into consideration the different time zones of the participants. The instructors were very knowledgeable and encouraging. The learning materials were very helpful. I enjoyed the in-course assessments throughout the program.
Read More
, Immunocore
28th Jan 2026
"The program videos allow flexible self-paced learning during the week."
My experience with the Online Data Analytics Essentials Program has been amazing. My Program Manager is outstanding and the class is very informative. I had some prior knowledge but found everything they taught to be cohesive and well explained. I like that we can watch the class videos in our own time during the week so we can self-pace, and we only have one meeting a week on the weekends, which I find very doable. I also appreciate the opportunity to ask questions in the forums on the site. It makes it easier when I see someone already asked a question I was wondering about too.
Read More
, Visa Inc
24th Jan 2026
Offering unparalleled learning content and supportive tutors, the program was truly exceptional.
The Data Analytics exploration led by the academic team was truly exceptional. I commend their efforts for delivering an explicit, hands-on experience. The program caters adeptly to beginners and professionals alike, offering unparalleled learning content and supportive tutors. The management of class timing and project deadlines was impeccable, fostering optimal engagement. Queries were promptly and effectively addressed, enhancing the learning journey. Undoubtedly, this Data Analytics Essentials program will greatly impact my career pursuits.
Read More
AML / KYC Analyst , Fulton Bank
18th Jun 2023
The program is interactive and provides a solid foundation in Data Analytics.
The program was in-depth and interactive, providing me with a solid foundation. The various learning opportunities, including online lectures, live sessions, and hands-on projects, work together to reinforce the concepts.The ability to raise support tickets and get questions answered quickly is a great support for developing knowledge in Data Analytics.
Read More
Licensed Financial Services Representative , Charles Schwab
15th Jun 2023
The program offered practical exercises in data analysis and programming. Professors were highly skilled, and the focus on SQL and Python greatly improved my technical abilities.
Ashenafi Terefe
Medical Technologist , USF
The program offered a solid foundation in SQL, Python, and data visualization. The hands-on projects were highly effective in reinforcing learning, and the 1:1 sessions ensured I had the support I needed.
Alexa Martin
Senior HR DOT Compliance Analyst , DHL
Get support in building a GitHub project portfolio that showcases your analytics and AI-assisted data analysis skills.
Get an insiders perspective to understand what recruiters are looking for
Get your resume and LinkedIn profile reviewed by our experts to highlight your skills & projects
Build an industry-ready portfolio to showcase your mastery of skills and tools
Fee for Data Analytics Essentials: USD 3,100
EMI starting at USD 750/month only
22-Week Online Comprehensive Journey: Build job-ready Data Analytics & AI skills
Structured Learning: Dedicate 8–10 hours weekly to faculty videos, mentor sessions, and hands-on AI projects
Dedicated Mentorship: Attend weekly live online sessions with top Industry Mentors and build AI Agents
Earn a globally recognized Texas McCombs certificate and CEUs to validate your AI expertise
Easy payment plans
Avail our EMI options & get financial assistance
INSTALLMENT PLANS
Upto 3 months Installment plans
Explore our flexible payment plans
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Applications close once the required number of participants enroll. Apply early to secure your spot
Apply by filling a simple online application form.
A panel from Great Learning will review your application to determine your fit for the program.
After a final review, you will receive an offer for a seat in the upcoming cohort of the program.
Admission closing soon
How will I be assessed during the Data Analytics course online?
The Data Analytics Essentials program is extensive, and learners are continually evaluated through quizzes, assignments, and projects.
What tools and techniques will the PL-300 Microsoft Power BI certification course cover?
This add-on Data analyst certification online program covers topics such as Power BI Desktop, Power Query, Data Modeling, Visualizations, DAX functions, and more. Additionally, learners will be exposed to best practices in Power BI Data Analytics, further preparing them for the PL-300 Microsoft Power BI Data Analyst exam.
Does the PL-300 Microsoft Power BI Data Analyst course include practice examinations?
Yes, the program features practice exams that mirror the PL-300 Microsoft Power BI certification test.
Why should I choose this Data Analytics course for beginners from the McCombs School of Business at The University of Texas at Austin?
The McCombs School of Business at the University of Texas at Austin is a well-respected business school in the USA. It is known for its comprehensive programs in areas such as entrepreneurship, finance, and accounting. With a proven track record of success, along with cutting-edge research and innovative teaching methods, you can be confident that you are learning from some of the best in the field.
How can I become a Microsoft Certified Power BI Data Analyst Associate?
You will have the option to enroll in an add-on Microsoft Power BI Data Analytics program alongside the Data Analytics Essentials program. Upon successfully completing the Microsoft Power BI Certification Program and passing the PL-300 exam, learners will earn the Microsoft Power BI Data Analyst certification.
Is this program a data analytics certification?
No. This Data Analytics Essentials program is a data analytics certificate program and not a certification. Upon completing the program, participants receive a certificate of completion in Data Analytics Essentials from the McCombs School of Business at The University of Texas at Austin. Additionally, you will get an option to complete PL-300 Microsoft Power BI Data Analytics certification program, where you will get a certification.
Will the sessions be live or recorded?
Learners will participate in live and interactive sessions over the weekend. If they miss any sessions, they can watch the recorded versions later at their convenience. Along with the live mentorship sessions, recorded lectures from Texas McCombs faculty and industry experts will be uploaded to the Learning Management System (LMS) on a weekly basis.
Will I be awarded any data science certificate after completing the course?
Upon successfully completing the program, you will receive a certificate of completion in Data Analytics Essentials from the McCombs School of Business at The University of Texas at Austin.
Will I receive any career support after completing this program in data analytics?
Yes, when you choose this data analytics program, you will receive career support from Great Learning, a reputed ed-tech platform for higher education and professional development. The career support services you will receive are as follows: Career Sessions: You will engage with industry experts and get dedicated career assistance. Resume and LinkedIn Profile Review: This program will assist you in creating a top-notch resume that highlights your skills and prior work experience. Interview Preparation: With our interview preparation classes, you can get a behind-the-scenes look at what hiring managers are looking for and learn how to ace interviews.
What job opportunities will become available after passing the Microsoft PL-300 Exam and obtaining the Certification?
By successfully completing the Microsoft PL-300 course and obtaining certification, learners will enhance their professional profiles, readying them for positions such as Data Analyst, Power BI Developer, Business Intelligence Analyst, and beyond.
What is the Data Analytics Essentials course from the McCombs School of Business at the University of Texas at Austin?
The Data Analytics Essentials program from the McCombs School of Business at the University of Texas at Austin is a 22-week online program designed to develop the critical analytics foundational skills you need to enter the world of data. This is among the best data science programs for beginners, designed by award-winning UT Austin faculty. These are some of the program highlights: Duration: 22 weeks (DAE is 15 weeks and PL-300 is 7 weeks); Format: Online; Hands-on projects: Yes; Dedicated Program Manager: Yes; Career Support: Yes; Academic Learning Support: Yes (GL Community, Project Discussion Forums, Peer Groups); Certificate: Yes. On successful completion, you will earn a Certificate of Completion from UT Austin; Continuing Education Units: Yes. Earn 5.0 Continuing Education Units (CEUs) on successful completion of the program.
What is the duration of this UT Austin Data Analytics certificate course?
The total program duration is 22 weeks (15 weeks DAE + 7 weeks PL-300). It includes hands-on projects addressing real-world business problems.
Will I still have access to the learning materials after completing the course?
We believe learning should be continuous; therefore, all lectures and learning materials will be available to students for three years after they complete the Data Analytics Essentials program.
What career opportunities will I receive after completing this Data Analytics program by Texas McCombs?
Upon successful completion of this program, you can pursue a broad range of career opportunities. Some of the most in-demand entry-level jobs in Data Analytics include the following: Data Analyst; Business Analyst; BI Analyst; Data Journalist; Research Analyst; Product Analyst; Analytics Engineer; Data Architect; Data Engineer.
What role does Great Learning play in this data analytics course for beginners?
The Data Analytics Essentials program is developed by Texas McCombs in partnership with Great Learning, a leading ed-tech platform for higher education and professional development. Great Learning offers the following career support services to the learners of this program: Career Sessions: Learners will interact directly with industry experts to gain career insights. Resume and LinkedIn Profile Review: The program will help learners put together an outstanding resume that highlights their abilities and previous employment experience. Interview Preparation: Learners can gain an insider's perspective on what hiring managers are looking for and learn how to ace interviews with the help of interview preparation sessions. E-Portfolio: Learners will discover how to build an industry-ready portfolio to showcase their proficiency with languages, tools, and skills. Learners will also get personalized assistance with a dedicated program manager from Great Learning to guide them for all their queries.
What exactly does mentored learning involve?
Mentored sessions are the live online mentorship sessions over the weekend, designed for dynamic two-way voice and video communication. In these engaging sessions, you will be part of a focused micro-class consisting of 20-25 learners, ensuring personalized attention and a collaborative learning environment.
Who would be the faculty teaching this Data Analytics beginners’ course?
The program will be taught by world-renowned faculty from Texas McCombs. Leading industry experts will conduct the industry sessions. The curriculum has been designed by UT Austin faculty to help you understand the fundamentals of data analytics.
What tools are covered in this data science course for beginners?
You will get familiar with several in-demand skills and tools in this program, including: Excel; Python; RDBMS; Querying Data with SQL; NumPy; Pandas; Data Visualization using Tableau.
What is the Data Analytics program syllabus for beginners?
The program syllabus has been developed to fulfill the requirements for an entry-level data science job. This curriculum will discuss the following topics to help learners pursue fruitful careers in Data Analytics:
1. Pre-Work Module: Introduction to Excel, Descriptive Statistics.
2. Data Analytics Foundations: Overview of the World of Data and Generating Insights using Excel.
3. Data Analytics with SQL: Querying Data with SQL and Advanced Querying to extract business insights.
4.Data-driven Insights using Python: Data Transformation using Numpy and Pandas, Data Visualization with Seaborn, and Exploratory Data Analysis.
5. Self-Paced Modules: Creative Storytelling with Tableau, Building Interactive Dashboards using Tableau, ChatGPT and its applications. PL-300- Microsoft Power BI Data Analytics certification Training Program for the preparation of the Microsoft Power BI Data Analyst PL-300 certification exam.
What is unique about this Data Analytics beginners course?
The Data Analysis beginners' program is unique in the following aspects:
Learners will learn from professional data analysts with a variety of backgrounds, weekly one-on-one mentoring sessions, and frequent real-world case studies and hands-on projects.
Through expert-led sessions, self-paced videos, hands-on projects, and in-depth mentoring sessions, the program brings concepts related to data analytics to life.
Learners will develop analytical skills through the comprehensive curriculum.
What are the benefits of enrolling in this Data Analytics program from the McCombs School of Business at the University of Texas at Austin?
The benefits of enrolling in this world-class and best Data Analytics course for beginners include the following:
1. The McCombs School Advantage: The McCombs School of Business at the University of Texas at Austin is a reputable business school at a renowned public research university. Learners can rest assured that they are learning from the best of the best.
2. Industry-relevant Curriculum: Several highly qualified faculty members from the McCombs School developed the curriculum for this program. This comprehensive curriculum covers industry-relevant subjects, such as Excel, Python Programming, Descriptive Statistics, Data Analytics Foundations, SQL, Numpy, Pandas, Exploratory Data Analysis (EDA), Generative AI and Data Visualization with Tableau.
3.Interactive Sessions: Through live interactive micro-classes, learners can connect with mentors and peers.
4. Hands-on Learning: With hands-on learning, learners will gain in-depth knowledge of various critical concepts and discover how to apply them in the real world.
5. Prominent Faculty and Industry Experts: In order to give learners a practical understanding of essential concepts, the program brings together the distinguished faculty of The McCombs School and a global team of highly skilled Data Analysts and Business Analysts.
6. Industry-relevant Projects: Learners will work on hands-on projects spread across various modules. They will implement these projects alongside established data experts and fellow learners worldwide.
7. Live Online Mentoring Sessions: During these sessions, learners can speak with mentors from various fields. Additionally, they will gain assistance with projects and other critical concepts through live mentoring sessions.
8. Great Learning Advantage: Learners will gain access to dedicated career support from Great Learning throughout their educational journey, including career guidance sessions, resume reviews, LinkedIn Profile reviews, interview preparation, and e-portfolios.
9. Become Job-ready: This data analyst course for beginners will equip learners with theoretical knowledge and practical skills through case studies and hands-on projects. They will enhance their resume and secure career opportunities with Great Learning’s career support program. They’ll also get the opportunity to network with well-established industry experts, increasing their chances of succeeding in the Data Analytics field.
What is the ranking of the McCombs School of Business at the University of Texas at Austin?
The McCombs School of Business at the University of Texas at Austin is ranked:
#6 in MS - Business Analytics (QS World University rankings, 2024);
#4 in Master’s in Business Analytics (QS World University Rankings, 2023);
#6 in Executive Education Custom Programs (Financial Times, 2022);
#1 in U.S., Big Data Management in MS Business Analytics (Eduniversal, 2024).
Who is the Data Analysis for Beginners course best suited for?
This is among the best data science courses for beginners and is best suited for:
Recent graduates and early career professionals looking to acquire job-ready skills in business intelligence and data analytics domains. The program trains and prepares students for job roles like business analyst or data analyst.
Candidates looking to enter the world of data and leverage it to make analytical decisions across several industries.
Candidates who want to develop the fundamentals of data analysis over a short timeframe with a realistic resource investment.
Who can apply for this Microsoft Power BI Certification Program?
Learners in the Data Analytics program seeking career advancement and Microsoft Power BI certification can enroll. It focuses on Power BI and welcomes anyone interested in Power BI Data Analytics.
What is the deadline to enrol in this Data Analytics course for beginners?
The admissions are closed after the required number of participants has registered for the upcoming cohort. The seats available for this program are subject to the first-come, first-served rule. Apply early to secure your seats.
What is the admission process to pursue this Data Analysis course for beginners?
To enroll in this program, the applicants must meet the eligibility criteria mentioned earlier. The admission process for the eligible candidates is provided below:
1. Fill application form. Apply by filling a simple online application form.
2. Interview Process. A panel from Great Learning will review your application to determine your fit for the program.
3. Join the program. After a final review, you will receive an offer for a seat in the upcoming cohort of the program.
Note: Document verification is required prior to admission to the program.
Does this course have a refund/cancellation policy?
Submitting the admission fee confirms your enrollment in the program, and the following cancellation policies apply:
Within 48 Hours of Enrollment: Full refund. After 48 Hours: Admission fee is non-refundable.
Fee Paid Beyond the Admission Fee: >4 Weeks Before Start Date: Full refund.
>2 Weeks Before Start Date: 75% refund.
>24 Hours Before Start Date: 50% refund.
Requests received after the Commencement Date are not eligible for a refund. Cancellation must be requested in writing to the program office.
Are books or online learning resources subject to additional fees?
All learning materials will be accessible through the Learning Management System (LMS). Please note that there will be no additional fees associated with books or other learning resources.
What is the data analytics course fee?
The fee to pursue this program is USD 2900*. Data Analytics Essentials Program: USD 2000. PL-300 certification Training program (Power BI certification cost): USD 900. *Great Learning delivers the PL-300 certification training program in collaboration with Microsoft. The University of Texas at Austin is not Involved in the program’s design or delivery. Contact our admissions office at +1 512 877 8310 for more details on fees, payment plans and upcoming cohort.
The McCombs School of Business at The University of Texas at Austin is collaborating with Great Learning to deliver the Data Analytics Essentials Program. Great Learning is an ed-tech company that has empowered learners from over 170+ countries to achieve positive career growth outcomes.
Application Closes
23rd Jul 2026
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