Master Certification In Business Analytics

Introduction to Arizona State University

Course Overview Program Description

In this program, we equip you with the knowledge and skills to turn data into information, information into insights, and insights into revenue. In this three-course series, you will explore the transformative potential of data-driven decision-making. You will examine critical aspects such as data strategies, risk management, AI integration, privacy regulations, ethical leadership, and more. You will practice data analysis, visualization, hypothesis testing, and AI utilization. This program will empower you to lead organizations to success in our interconnected global economy by fostering innovation, strategic thinking, and informed decision-making, making you a valuable asset in today’s data-rich and dynamic business environment.

Learning Objectives

• Empower Leadership Through Data: Equip participants with the knowledge and skills to become data-savvy leaders capable of making informed, data-driven decisions in a global business context.
• Foster Global Business Excellence: Prepare participants to excel in international markets by providing them with a deep understanding of analytics, enabling them to navigate the complexities of global business environments effectively.
• Promote Ethical and Innovative Leadership: Cultivate ethical decision-making practices while fostering innovative leadership, ensuring that participants are equipped to lead responsibly and innovatively in today’s data-driven world.

Key Program Takeaway

• Enhance understanding of the current state and future potential of data analytics and big data.
• Develop hands-on experience in applying these concepts to real-world business challenges.
• Improve your ability to make informed decisions based on data insights.
• Gain competitive edge by leveraging data-driven strategies.
• Translate data insights into actionable business strategies.
• Develop leadership skills and mindset for success in the data-driven era.
• Convert data into compelling narratives that drive decision-making.
• Apply Generative AI techniques to enhance mathematical decision-modeling for complex business scenarios.

Course Outcome

Course 1: Data-Centric Leadership for Effective Scaling

• Develop a comprehensive understanding of how data, effective data management, and analytics shape decisions in the context of the 4th Industrial Revolution, enabling you to lead with data-driven insights and ethical governance principles while driving innovation and optimizing business performance.
• Gain the knowledge and strategies necessary to integrate AI and emerging technologies into leadership practices, aligning technology adoption with organizational goals, harnessing AI’s potential for creating value within your organization, and preparing your organization for the future of work.
• Prepare yourself to effectively lead during technological disruptions and digital transformations, equipping you with the skills to navigate and harness these changes.

Course 2: A Leader’s Toolkit: Data Analytics and Visualization

• Recognize the basic tenets of ethical data collection, handling, and management.
• Apply foundational concepts of data collection, analysis, and visualization to increase the accuracy and reliability of data-backed business decisions.
• Analyze the impact of data quality, reliability, and bias on decision-making.
• Strategically plan, execute, and communicate data-backed decisions by utilizing skills in strategic experimentation, advanced statistical analysis, machine learning, artificial intelligence, predictive modeling, and data visualization.
• Reflect on the decision-making process to optimize future outcomes.

Course 3: Harnessing Analytics for Organizational Excellence and Growth

• Apply data tracking, key metrics, and customer-centric analytics across critical business functions—including product design, marketing, advertising, and operations—to inform strategic planning, enhance customer experiences, reduce churn, drive engagement, and ultimately foster organizational growth.
• Recognize the necessity and develop the short- and long-term strategy for driving and managing the transformation of organizational culture, mindset, infrastructure, and design, fostering an environment conducive to data-driven decision-making.

Course 1

Course 2

Course 3

Harnessing Analytics for Organizational Excellence and Growth

Navigate the data-driven landscape with our comprehensive certificate program, your guide to crafting informed strategies, enhancing customer experiences, and achieving operational excellence. This course goes beyond technology, empowering you to transform your workplace, shift mindsets, and build a resilient, data-driven culture for future…

Target Learners

Job Roles

• Chief Data Officer (CDO): Manages an organization’s data strategy, governance, and analytics efforts.
• Business Analyst: Analyzes business data to provide insights that drive decision-making and improve performance.
• Data Scientist: Builds models and algorithms to predict trends and solve complex business problems using data.
• Global Business Analyst: Analyzes global market trends and competitor behavior to inform international business strategies.
• Data-Driven Decision Maker: Leverages data insights to make informed, strategic business decisions.
• Market Research Manager: Oversees market data collection and analysis to guide marketing and product development.
• Business Intelligence (BI) Manager: Leads teams to use business intelligence tools for actionable insights and strategic decision-making.
• Supply Chain Analyst/Manager: Optimizes global supply chain operations using data analysis and forecasting.

• Chief Data Officer (CDO): Manages an organization’s data strategy, governance, and analytics efforts.
• Digital Transformation Consultant: Advises organizations on leveraging data and technology for business process improvements.
• Operations Research Analyst: Uses mathematical models and statistical techniques to optimize business operations.
• Financial Analyst: Analyzes financial data to support investment decisions, forecasting, and risk management.
• Product Manager (Data-focused): Manages data-centric products and incorporates analytics to improve outcomes.
• Risk Analyst/Manager: Assesses business risks using data analysis to help mitigate financial and operational risks.
• Customer Insight Analyst: Analyzes customer data to inform marketing, sales, and service strategies.
• Strategy Consultant (Analytics Focused): Provides data-driven strategic advice to businesses to improve performance and growth.

Fee structure

Thunderbird and Arizona State University Faculty

Dr. Kanad Basu

Dr. Kanad Basu has over 18 years of analytics and data science experience spanning across academia and industry. He currently leads the Global Business Analytics executive program and is a Professor of Practice at Thunderbird School of Global Management at Arizona State University. Kanad holds a doctorate in Applied and Computational Mathematics from University of South Carolina and has multiple publications, patents, and book chapters around big data analytics and statistical applications in the field of Mathematical Biology and Mathematical Finance.

Dr. Treena Basu
DEAN, ISME

Treena Basu is an Associate Professor and Chair of the Department of Mathematics at Occidental College. Her research interests are centered around numerical analysis, mathematical modeling and data science, specifically educational data mining (EDM). Treena holds a Ph.D. in Applied and Computational Mathematics from University of South Carolina.

Annie Flippo

Annie Flippo is Chief Data Officer at Urgently where she oversees the strategic data priorities and develops their data engineering, business intelligence and data science and AI/ML capabilities to solve business challenges, and to improve their user, vendor & partner experiences. She holds a Master of Arts in Economics from the University of Alberta.

Dr. Suman Bhattacharya

Dr. Suman Bhattacharya is a data scientist experienced in solving business problems using different machine learning and statistical technique. Currently he is Director Data Science at DocuSign, where he leads core data science and product growth data science. Suman holds a PhD in Physics from the University of Pittsburgh.

Biswajit Pal

Biswajit is a Director of Data Engineering, Analytics and Insight at Tata CLiQ, a leading e-commerce platform in India. He has over 17 years of experience in delivering high-impact data science and data engineering solutions, product development, and consulting services across various domains and markets. Biswajit is also a passionate AI practitioner and a co-chair of Generative AI for 3AI, India’s largest platform for the analytics community. He holds a Master of Science in Applied Statistics & Informatics from Indian Institute of Technology, Bombay.

International School of Management Excellence Faculty

Dr. SHAMPA NANDI
Professor and Principal (PG)

Educational Qualifications: MSc-Math(JU), MBA (IIT Dhanbad), PhD (IIT Dhanbad), PGDSBA(GL&UT Austin), UGC-NET in Management
Dr SHAMPA NANDI has been teaching since 2008. She taught in the USA for 3 years before she moved to India. She is now associated with ISME and heads the PGDM department. A driven academician with good analytical skills, intellectual ability, and organizational skills. A skilled researcher, recognized PhD guide under Mysore University, received multiple best paper awards, best case awards and presented scholarly work at reputed conferences. She has published 25 papers in recognized peer-reviewed National and International journals including Scopus-indexed and ABDC journals. Her area of research interest is Consumer Behavior and Marketing research.

Rajendra Desai
Professor

Educational Summary: Rajendra Desai graduated with  B.Tech from IIT Delhi in Chemical Engineering (1984) and went on to acquire a Masters in Operations Research from Virginia Tech, Blacksburg, USA (1988).  Subsequently, he completed a Management Program for Entrepreneurs and Family Business from IIM, Bangalore.(2008).
He has over 20 years of experience as an Entrepreneur in founding and scaling up a Leather Accessories Manufacturing Firm. He has spent over 10 years in academics – as Dean ( External Programs, XIME, Bangalore), Dean (Management Development Programs, AIMIT Mangalore),  Assistant and Associate Professor positions at St. Joseph’s Institute of Management and XIME, Bangalore and Research Associate (Virginia Tech), He has been teaching quantitative subjects – Statistics, Operations Research and Business Analytics as well as courses in Marketing and Entrepreneurship for PGDM and Executive Courses.

Manasa R
Professor

Educational Qualifications: BCA, Jain University, MCA, Jain University, (Ph.D.)(Cyber Security AI and ML), Marwadi University. Experience: Professor Manasa R is a highly experienced Data Analyst and Team Lead with over five years of expertise in utilizing Power BI to transform complex data into actionable insights. Since 2016, she has successfully led teams in the development of interactive dashboards, conducted sophisticated data analyses, and effectively communicated findings to stakeholders. Currently, she serves as an Assistant Professor at ISME, where she teaches undergraduate, postgraduate, and PGDM programs.
In addition to her technical proficiency, Professor Manasa brings a strong background in customer service and client-facing roles, demonstrating her ability to address client needs and cultivate long-term relationships. Her leadership extends beyond the professional realm, as she actively fosters team collaboration and drives organizational success through her involvement in extracurricular activities. Passionate about teaching and mentoring, she is committed to inspiring students to harness their potential and develop new skills through innovative learning opportunities.

Sudipto Das
Professor

Educational Qualifications: BCA, Jain University, MCA, Jain University, (Ph.D.)(Cyber Security AI and ML), Marwadi University.Operations Research, Analytics and Supply Chain Management Experience: Mr. Sudipto has almost 20 years of varied experience, with the major part of it in Academics. He began his career as an entrepreneur of a software firm in the capacity of a Business Analyst, and worked   for reputed Analytics multinationals, before resuming his journey in the field of academia. He has been teaching since 2006 at several Indian universities and Edith Cowan University, Australia. He is now associated with ISME and is part of the External Relations Department. His Soft Skills facilitation assignments have been an enabler in his teaching sessions as well. His interest in Design Thinking prompts him to search for innovative ways to engage his students.

Dr. VAISHNAVI BALAJI, Ph.D.
Professor

Educational Summary: Dr. Vaishnavi Balaji is working as an Assistant Professor at the International School of Management Excellence (ISME). Prior to this role, she was a freelancer, deploying various Proof of Concepts (POCs) for different start-ups. She has over four years of experience as an Assistant Professor at deemed Universities and three years as a Research Associate at VIT, Vellore. She holds a Bachelor’s degree in Computer Science and a Master’s degree in Software Technology from VIT, Vellore, where she received Merit Certificates for each academic year.  She obtained her doctorate in Machine Learning and GIS from the same university. Additionally, she has a Dual Master’s Degree in Artificial Intelligence & Machine Learning from Liverpool John Moore’s University, UK, and IIIT-B.