In collaboration with
What you’ll learn
Data Analytics is a complex world composed of an integration of many disciplines like statistics, computer science, and business. This program enables you to learn and apply concepts from statistics, artificial intelligence, finance, marketing, and information technology to build solutions for data analytics applications in the business world. The program prepares you for jobs in the data analytics area – particularly in building and managing data analytics projects, teams and understanding the complexities involved in bringing together data, technologies, and models to address opportunities in the rapidly expanding world of data science and Artificial intelligence.
Post Graduate Program in Business Analytics, Virginia Tech
He was an Associate Dean and Professor responsible for the Pamplin College of Business Graduate, MBA, and International Programs for Virginia Tech. Professor Sen now leads the Design and Development of Programs in Data Analytics for Outreach and International Affairs that are currently being offered in India and Newport News, VA.
Dr. Cyril R. Clarke, Executive Vice President and Provost of Virginia Tech
A veterinarian, clinical pharmacologist, teacher, researcher, and academic leader, Dr. Cyril R. Clarke became the Executive Vice President and Provost of Virginia Tech in January, 2019, after serving in an interim capacity since November, 2017.
Clarke has held leadership positions in several professional organizations, including the board of directors for the Association of American Veterinary Medical Colleges and past president of the American College of Veterinary Clinical Pharmacology. He is also a past member of the National Agricultural Research, Extension, Education, and Economics Advisory Board and the AVMA Council on Education, the accrediting agency for veterinary medical education in North America.
Dr. Guru Ghosh, Vice President
Outreach and International Affairs, Virginia Tech.
Spearheads the implementation of the University’s International Education and Research Programs and oversees the University’s outreach and engagement centers in the US and abroad. Dr. Ghosh facilitates the exchange of knowledge between the university and the global community benefiting both the University and society. He leads the University’s strategic global efforts by engaging faculty and students to share the best of Virginia Tech by working alongside communities across the commonwealth and the world.
Why Choose Us
Virginia Tech’s Graduate Information Technology Program is ranked No.2*
Who is this program for
Students with an undergraduate degree, working professionals, mid-career professionals considering switching to Business Analyst profile are encouraged to apply. One must have a strong interest in pursuing a career in data analytics and have a flair to play with data. We encourage people to apply from all sectors of industry, such as, IT, finance, banking, insurance, consumer products, manufacturing, marketing, supply chain , education and other areas that have potential to use data analytics.
Prior work experience, though desirable, is not mandatory.
|Data Management||Models for Structured & Unstructured Data, Preparing Data for Analysis|
|Machine Learning and AI||Types of Learning,Artificial Neural Network & Deep Learning, Principal Components Analysis,Decision Trees, Support Vector Machines,Computer Vision,NLP, IOT|
|Python||Python Crash Course, ML & Related Libraries – NumPy, Pandas, Matplotib, SciPy, Pytorch, TensorFlow, Sklearn|
|Classification and Clustering||Clustering Methods, Multi-class Classification, Instant-based (e.g. kNN), Generative (e.g. Naive Bayes), Discriminitive (e.g. Tree-based methods)|
|Big Data||Big Data & Distributed Databases, NOSQL Databases, Hadoop Family of Technologies, Apache Spark, Yarn|
|Application||Examples of AI & ML in Practice,Sentiment Analysis, Data Visualization|
|Projects||Predictive Analytics, Machine Learning, Capstone Project|
- Models for Structured & Unstructured Data,
- Preparing Data for Analysis
- Descriptive Statistics. Introduction to R,
- Multiple & Logistic Regression
- Types of Learning,
- Artificial Neural Network & Deep Learning,
- Principal Components Analysis,
- Decision Trees,
- Support Vector Machines,
- Computer Vision,
- Python Crash Course,
- ML & Related Libraries – NumPy,
- Pandas, Matplotib,
- Big Data & Distributed Databases,
- NOSQL Databases,
- Hadoop Family of Technologies,
- Apache Spark,
- Clustering Methods,
- Multi-class Classification,
- Instant-based (e.g. kNN),
- Generative (e.g. Naive Bayes),
- Discriminitive (e.g. Tree-based methods)
- Examples of AI & ML in Practice,
- Sentiment Analysis,
- Data Visualization
- Predictive Analytics,
- Machine Learning,
- Capstone Project
Faculty members are credentialed with Ph.Ds from universities with highly ranked programs in big data analytics and associated areas. They possess vast amounts of experience and each is considered an expert in his or her field. Faculty members are drawn from academia and industry, with the academic faculty providing the theoretical foundation and the faculty from industry showcasing the practical applications of various theories. In addition, instructors provide guidance on assignments, projects, and tests.
Our globally renowned faculty in information technology, computer science, engineering, and business are ready to take you on this exciting journey along with select executives from industry with the first-hand experience in deploying large-scale solutions in business analytics.
Dr Shankar Venugopal
Vice President, Mahindra Research Valley, Chennai.
CIO, Nova Healthcare Bangalore
CEO Incubation at Healthcare Technology Innovation Centre (HTIC)
Chief People Officer, LatentView Analytics
Co-founder & CEO, The Math Company
Country Manager, Entigence Corporation, Bangalore
Senior Vice President, Indiavidual Learning
T Ex. L&T Infotech, Tata Infotech, CMC
Ex VP Bristol Myers Squibb, Avon, Citigroup
Director, Latent View Analytics
The role of the industry advisors is to provide continued guidance to maintain the program’s value to industry. Members consist of business leaders, technology experts, and entrepreneurs.The advisors meet periodically to review the curriculum and program focus and provide strategic direction to the program
Managing Director, Professor Emeritus of Accounting and Information Systems, Virginia Tech
Lewis E. Hester Chair Professor of Mechanical Engineering, Virginia Tech
Director, International Finance and Administration, CIRED, Virginia Tech
KPMG Professor of Accounting and Information Systems, Virginia Tech
Assistant Professor of Economics, Virginia Tech
Chief Data Analytics Officer, Boeing (Ret.)
Dr. M Ramasubramanian
Associate Professor, LIBA
Chief Data Scientist, Haliburton
Dr. Srinivas Gunti
|Cohort||Length||Mode||Tuition Fees *|
|The Washington Cohort –August 2020||3 Month||Online||INR 75,000 + GST *|
*Student Loans/Installment options are provided through our Loan Partners as per eligibility. For more information please contact email@example.com