UT Dallas 2026 Graduate Catalog

Naveen Jindal School of Management

Master of Science in Business Analytics and Artificial Intelligence

36 semester credit hours minimum

Faculty

Professors: Ashiq Ali, Alain Bensoussan, Gary Bolton, Metín Çakanyildirim, Huseyin Cavusoglu, Jianqing Chen, William M. Cready, Gregory G. Dess, Umit G. Gurun, Dorothée Honhon, Kyle Hyndman, Varghese S. Jacob, Sanjay Jain, Ganesh Janakiraman, Elena Katok, Dmitri Kuksov, Nanda Kumar, Seung-Hyun Lee, Zhiang (John) Lin, Sumit K. Majumdar, Stanimir Markov, Amit Mehra, Syam Menon, Vijay S. Mookerjee, B. P. S. Murthi, Vikram Nanda, Özalp Özer, Mike W. Peng, Hasan Pirkul, Cuili Qian, Suresh Radhakrishnan, Srinivasan Raghunathan, Ram C. Rao, Brian Ratchford, Michael J. Rebello, Gil Sadka, Sumit Sarkar, Suresh P. Sethi, Kathryn E. Stecke, Riki Takeuchi, Wing Kwong (Eric) Tsang, Jun Xia, Ying Xie, Harold Zhang, Zhiqiang (Eric) Zheng

Associate Professors: Mehmet Ayvaci, Nina Baranchuk, Zhonglan Dai, Rebecca Files, Michael Hasler, Bin Hu, Surya N. Janakiraman, Robert L. Kieschnick Jr., Atanu Lahiri, Jun Li, Ningzhong Li, Maria Loumioti, Lívia Markóczy, Ramachandran (Ram) Natarajan, Naim Bugra Ozel, H. Dennis Park, Anyan Qi, Young U. Ryu, Serdar Simsek, Harpreet Singh, Upender Subramanian, Shouqiang Wang, Kelsey D. Wei, Han (Victor) Xia, Yexiao Xu, Alejandro Zentner, Jieying Zhang, Zhe (James) Zhang, Feng Zhao, Yibin Zhou

Assistant Professors: Khai Chiong, Rafael Copat, Soraya Fatehi, Andrew Frazelle, Ying Huang, Joonhwi Joo, Sora Jun, Jason Kautz, Tongil Kim, Sheen Levine, Christopher Mace, Samir Mamadehussene, Jean-Marie Meier, Radha Mookerjee, Jedson Pinto, Ignacio Rios Uribe, Alejandro Rivera Mesias, Simon Siegenthaler, Kirti Sinha, Xiaoxiao Tang, Shervin Tehrani, Ashwin Venkataraman, Guihua Wang, Hongchang Wang, Pingle Wang, Junfeng Wu, Steven Xiao, Yingjie Zhang

Associate Professors Emeriti: J. Richard Harrison, Jane Salk, David J. Springate

Clinical Professors: John Barden, Britt Berrett, Abhijit Biswas, Shawn Carraher, Larry Chasteen, Paul Convery, Howard Dover, Randall S. Guttery, William Hefley, Robert Hicks, Marilyn Kaplan, Sonia Leach, Peter Lewin, Jeffrey Manzi, John McCracken, Divakar Rajamani, Daniel Rajaratnam, Kannan Ramanathan, Mark Thouin, McClain Watson, Jeff Weekley, Habte Woldu, Fang Wu

Clinical Associate Professors: Shawn Alborz, Dawn Owens, Carolyn Reichert, Avanti P. Sethi, Ramesh Subramoniam, Aysegul Toptal, David Widdifield

Clinical Assistant Professors: Athena Alimirzaei, Christina (Krysta) Betanzos, Moran Blueshtein, Jerome Gafford, Jeffery (Jeff) Hicks, Revansiddha Khanapure, Liping Ma, Ravi Narayan, Parneet Pahwa, Jason Parker, Nassim Sohaee

Professors of Instruction: Semiramis Amirpour, Mary Beth Goodrich, Chris Linsteadt, Matt Polze, Luell (Lou) Thompson

Associate Professors of Instruction: Vivek Arora, Judd Bradbury, Monica E. Brussolo, Amal El-Ashmawi, Ayfer Gurun, Maria Hasenhuttl, Julie Haworth, Thomas (Tom) Henderson, Kathryn Lookadoo, Sarah Moore, Hubert Zydorek

Assistant Professors of Instruction: Negin Enayaty Ahangar, Joseph Mauriello, Rasoul Ramezani, Gaurav Shekhar

Professors of Practice: Gregory Ballew, Tiffany A. Bortz, Ranavir Bose, Alexander Edsel, Rajiv Shah

Associate Professors of Practice: Richard Bowen, Jackie Kimzey, David Parks, Margaret Smallwood, Steven Solcher, Kathy Zolton

Assistant Professors of Practice: Khatereh Ahadi, Steven Haynes, Abu Naser Islam, Edward Meda, Paul Nichols, Timothy Stephens, Guido Tirone, Robert Wright

Senior Lecturer: Juliann Chapman

Admission Requirements

In addition to the University's general admission requirements, applicants are required to submit the following materials as part of their application file for holistic admission consideration:

  • One letter of recommendation.
  • A statement of purpose/essay.
  • A resume.

While not required, applicants can also submit the following items to be considered:

  • GRE/GMAT scores.

Deadline: Please take note of reguarl application deadlines. All complete application files received by the deadline will be reviewed for admission. Students are accepted for the fall, spring, and summer semesters.

  • Fall Deadline - May 1
  • Spring Deadline - October 1
  • Summer Deadline - March 1

Applications submitted or completed after the deadline may be reviewed for admission only if spaces remain within the upcoming cohort and will be reviewed in order by the date the application file became complete.

Degree Requirements

The Master of Science in Business Analytics and Artificial Intelligence (MS BUAN) is a 36-credit-hour STEM-designated program that prepares students with the analytical, technical, and strategic skills needed to make effective data-driven decisions. The 18 credits of core courses provide a broad foundation in business analytics and AI, while 18 credits of electives allow students to learn more about specific business domains.

The program is offered in two forms: Flex and Cohort. The Flex Program provides the most choice, with electives available across 11 different tracks. The Cohort Program is designed for students who wish to take most of their courses as a cohort, with a focus on electives from the Accounting Analytics and Data Science tracks. The program offers both in-person and online options, with the online version enabling students to complete the program entirely online. Special tuition, fees, and admissions requirements apply to the cohort program. Both Flex and Cohort versions admit students in the Fall, Spring, and Summer semesters.

To apply for this degree program, an undergraduate degree is required (all majors are considered). In order to graduate, students must maintain a 3.0 grade-point average (GPA) across the program's core courses, across all graduate courses taken in the degree program, and across all courses taken at the graduate level at UTD.

Prerequisites

Students pursuing the Master of Science in Business Analytics and Artificial Intelligence degree program are required to fulfill one semester credit hour of MAS 6102 Professional Development course. In addition, knowledge of calculus is required and students who have not completed an undergraduate calculus course may satisfy the prerequisite by completing OPRE 6303 Quantitative Foundations of Business. Degree credit is not earned for program prerequisites, however, the grade achieved in prerequisites will count toward the student's grade-point average (GPA). All program prerequisites must be satisfied within the first semester of graduate study as a degree-seeking student.

Course Requirements

Core Courses: 18 semester credit hours

BUAN 6343 Applied AI

BUAN 6320 Database Foundations for Business Analytics

BUAN 6324 Business Analytics With SAS

or BUAN 6356 Business Analytics With R

or BUAN 6383 Modeling for Business Analytics

BUAN 6337 Predictive Analytics for Data Science

BUAN 6398 Prescriptive Analytics

BUAN 63591 Advanced Statistics for Data Science

Elective Courses: 18 semester credit hours

Choose from one or more of the following specialized tracks. Tracks are for guidance and informational purposes; they will not appear on your degree or transcript. Students may also substitute up to six semester credit hours of any master's-level courses offered within JSOM as free electives, except MIS 6320, MIS 6326, ACCT 6320, ACCT 6321, OPRE 6301 and OPRE 6393. Additionally, students must abide by any restrictions specified in course descriptions.

BUAN 6009 Business Analytics Internship (Required Elective)1

Accounting Analytics Track

Core Courses: 9 semester credit hours

ACCT 6301 Financial Accounting

or ACCT 6330 Intermediate Financial Accounting I

ACCT 6344 Financial Statement Analysis

or ACCT 6332 Intermediate Financial Accounting II

ACCT 6374 Advanced Data Analytics for Accountants and Auditors

Elective Courses: 9 semester credit hours

ACCT 6336 Information Technology Audit and Risk Management

ACCT 6384 Analytical Reviews Using Audit Software

or ACCT 6334 Auditing

ACCT 6386 Governance, Risk Management and Compliance (GRC)

Cybersecurity Analytics Track

Core Courses: 9 semester credit hours

BUAN 6368 Applied Cybersecurity Analytics and Risk Management

MIS 6330 Cybersecurity Fundamentals

MIS 6333 Digital Forensics and Incident Management

Elective Courses: 9 semester credit hours

MIS 6337 Information Technology Audit and Risk Management

MIS 6384 Preparing for Cybersecurity Threats

Data Engineering Track

Core Courses: 9 semester credit hours

BUAN 6312 Statistical Data Science for Business Decisions

MIS 6309 Business Data Warehousing

BUAN 6346 Big Data

Elective Courses):

BUAN 6333 Foundations of Programming for Business Analytics

or BUAN 6340 Programming for Data Science

MIS 6363 Cloud Computing Fundamentals

BUAN 6347 Advanced Big Data Analytics

BUAN 6358 AWS Cloud Analytics

BUAN 6385 Robotic Process Automation

MIS 6389 AWS Cloud Solution Architecture

BUAN 6393 Advanced Database with AI Analytics

BUAN 6394 Responsible AI and Ethical Governance

Data Science Track

Core Courses: 9 semester credit hours

BUAN 6312 Statistical Data Science for Business Decisions

BUAN 6342 Applied Natural Language Processing

BUAN 6341 Applied Machine Learning

Elective Courses: 9 semester credit hours

BUAN 6346 Big Data

BUAN 6357 Advanced Business Analytics With R

BUAN 6383 Modeling for Business Analytics

BUAN 6382 Applied Deep Learning

BUAN 6385 Robotic Process Automation

BUAN 6392 Causal Analytics and A/B Testing

BUAN 6399 AI in Business

BUAN 6335 Organizing for Business Analytics Platforms

BUAN 6394 Responsible AI and Ethical Governance

MIS 6380 Data Visualization

BUAN 6333 Foundations of Programming for Business Analytics

or BUAN 6340 Programming for Data Science

Decisions and Operations Analytics Track

Core Courses: 9 semester credit hours

OPRE 6302 Operations Management

OPRE 6304 Analytics for Innovation in Demand and Supply Management

OPRE 6332 Spreadsheet Modeling and Analytics

Elective Courses: 9 semester credit hours

BUAN 6385 Robotic Process Automation

OPRE 6335 Risk and Decision Analysis

OPRE 6377 Demand and Revenue Analytics

OPRE 6378 Supply Chain Strategy

MIS 6398 Blockchain Technology and Applications

MECO 6321 Energy Analytics

Enterprise Systems Analytics Track

Core Courses: 9 semester credit hours

MIS 6319 Intelligent Enterprise Systems with SAP

MIS 6332 Intelligent Enterprise Systems Configurations and Implementation with SAP

BUAN 6386 SAP Cloud Analytics

Elective Courses: 9 semester credit hours

MIS 6309 Business Data Warehousing

MIS 6369 Supply Chain Software with SAP

Financial Analytics Track

Core Courses: 9 semester credit hours

FIN 6307 Mathematical Methods for Finance

FIN 6301 Financial Management

FIN 6353 Financial Modeling for Investment Analysis

Elective Courses: 9 semester credit hours

FIN 6352 Financial Modeling for Valuation

FIN 6360 Derivatives Markets

FIN 6368 Financial Information and Analysis

FIN 6392 Financial Technology and Blockchain

MIS 6398 Blockchain Technology and Applications

Healthcare Analytics Track

Core Courses: 9 semester credit hours

HMGT 6320 The American Healthcare System

HMGT 6325 Healthcare Operations Management

HMGT 6323 Healthcare Informatics

Elective Courses: 9 semester credit hours

HMGT 6334 Healthcare Analytics

HMGT 6327 Electronic Health Records Applications

BUAN 6335 Organizing for Business Analytics Platforms

BUAN 6336 Applied AI in a Healthcare Setting

Marketing Analytics Track

Core Courses: 9 semester credit hours

BUAN 6392 Causal Analytics and A/B Testing

MKT 6301 Marketing Management

MKT 6349 MarTech Ecosystem

Elective Courses: 9 semester credit hours

MKT 6309 Marketing Data Analysis and Research

MKT 6336 Pricing Analytics

MKT 6343 Social Media Marketing and Insights

MKT 6352 Marketing Web Analytics and Insights

BUAN 6344 Web Analytics

MKT 6353 Customer Analytics and Insights

MKT 6384 Advanced Marketing Web Analytics and Insights

BUAN 6312 Statistical Data Science for Business Decisions

Product and Innovation Analytics Track

Core Courses: 9 semester credit hours

BUAN 6380 Business Model Innovation

BUAN 6378 Corporate Innovation and Entrepreneurship

BUAN 6392 Causal Analytics and A/B Testing

Elective Courses: 9 semester credit hours

BUAN 6388 The Corporate Entrepreneurial Experience

BUAN 6375 Technology and New Product Development

BUAN 6335 Organizing for Business Analytics Platforms

BUAN 6394 Responsible AI and Ethical Governance

MIS 6393 Foundations of Digital Product Management

Social Media Analytics Track

Core Courses: 9 semester credit hours

MIS 6373 Social Media Business

MIS 6378 Customer Relationship Management with Salesforce

BUAN 6344 Web Analytics

Elective Courses: 9 semester credit hours

BUAN 6335 Organizing for Business Analytics Platforms

BUAN 6340 Programming for Data Science

BUAN 6341 Applied Machine Learning

BUAN 6392 Causal Analytics and A/B Testing

Graduate Certificates

Graduate Certificate in Applied AI & Machine Learning

12 semester credit hours

Faculty

Professors: Ashiq Ali, Alain Bensoussan, Gary Bolton, Metín Çakanyildirim, Huseyin Cavusoglu, Jianqing Chen, William M. Cready, Gregory G. Dess, Umit G. Gurun, Dorothée Honhon, Kyle Hyndman, Varghese S. Jacob, Sanjay Jain, Ganesh Janakiraman, Elena Katok, Dmitri Kuksov, Nanda Kumar, Seung-Hyun Lee, Zhiang (John) Lin, Sumit K. Majumdar, Stanimir Markov, Amit Mehra, Syam Menon, Vijay S. Mookerjee, B. P. S. Murthi, Vikram Nanda, Özalp Özer, Mike W. Peng, Hasan Pirkul, Cuili Qian, Suresh Radhakrishnan, Srinivasan Raghunathan, Ram C. Rao, Brian Ratchford, Michael J. Rebello, Gil Sadka, Sumit Sarkar, Suresh P. Sethi, Kathryn E. Stecke, Riki Takeuchi, Wing Kwong (Eric) Tsang, Jun Xia, Ying Xie, Harold Zhang, Zhiqiang (Eric) Zheng

Associate Professors: Mehmet Ayvaci, Nina Baranchuk, Zhonglan Dai, Rebecca Files, Michael Hasler, Bin Hu, Surya N. Janakiraman, Robert L. Kieschnick Jr., Atanu Lahiri, Jun Li, Ningzhong Li, Maria Loumioti, Lívia Markóczy, Ramachandran (Ram) Natarajan, Naim Bugra Ozel, H. Dennis Park, Anyan Qi, Young U. Ryu, Serdar Simsek, Harpreet Singh, Upender Subramanian, Shouqiang Wang, Kelsey D. Wei, Han (Victor) Xia, Yexiao Xu, Alejandro Zentner, Jieying Zhang, Zhe (James) Zhang, Feng Zhao, Yibin Zhou

Assistant Professors: Khai Chiong, Rafael Copat, Soraya Fatehi, Andrew Frazelle, Ying Huang, Joonhwi Joo, Sora Jun, Jason Kautz, Tongil Kim, Sheen Levine, Christopher Mace, Samir Mamadehussene, Jean-Marie Meier, Radha Mookerjee, Jedson Pinto, Ignacio Rios Uribe, Alejandro Rivera Mesias, Simon Siegenthaler, Kirti Sinha, Xiaoxiao Tang, Shervin Tehrani, Ashwin Venkataraman, Guihua Wang, Hongchang Wang, Pingle Wang, Junfeng Wu, Steven Xiao, Yingjie Zhang

Associate Professors Emeriti: J. Richard Harrison, Jane Salk, David J. Springate

Clinical Professors: John Barden, Britt Berrett, Abhijit Biswas, Shawn Carraher, Larry Chasteen, Paul Convery, Howard Dover, Randall S. Guttery, William Hefley, Robert Hicks, Marilyn Kaplan, Sonia Leach, Peter Lewin, Jeffrey Manzi, John McCracken, Divakar Rajamani, Daniel Rajaratnam, Kannan Ramanathan, Mark Thouin, McClain Watson, Jeff Weekley, Habte Woldu, Fang Wu

Clinical Associate Professors: Shawn Alborz, Dawn Owens, Carolyn Reichert, Avanti P. Sethi, Ramesh Subramoniam, Aysegul Toptal, David Widdifield

Clinical Assistant Professors: Athena Alimirzaei, Christina (Krysta) Betanzos, Moran Blueshtein, Jerome Gafford, Jeffery (Jeff) Hicks, Revansiddha Khanapure, Liping Ma, Ravi Narayan, Parneet Pahwa, Jason Parker, Nassim Sohaee

Professors of Instruction: Semiramis Amirpour, Mary Beth Goodrich, Chris Linsteadt, Matt Polze, Luell (Lou) Thompson

Associate Professors of Instruction: Vivek Arora, Judd Bradbury, Monica E. Brussolo, Amal El-Ashmawi, Ayfer Gurun, Maria Hasenhuttl, Julie Haworth, Thomas (Tom) Henderson, Kathryn Lookadoo, Sarah Moore, Hubert Zydorek

Assistant Professors of Instruction: Negin Enayaty Ahangar, Joseph Mauriello, Rasoul Ramezani, Gaurav Shekhar

Professors of Practice: Gregory Ballew, Tiffany A. Bortz, Ranavir Bose, Alexander Edsel, Rajiv Shah

Associate Professors of Practice: Richard Bowen, Jackie Kimzey, David Parks, Margaret Smallwood, Steven Solcher, Kathy Zolton

Assistant Professors of Practice: Khatereh Ahadi, Steven Haynes, Abu Naser Islam, Edward Meda, Paul Nichols, Timothy Stephens, Guido Tirone, Robert Wright

Senior Lecturer: Juliann Chapman

Overview

The Graduate Certificate in Applied AI & Machine Learning provides a strong foundation in statistics, along with essential concepts in business analytics, machine learning, and applied AI. The curriculum is designed to provide a comprehensive foundation and the hands-on skills needed to design, implement, and deploy AI-driven solutions in real business environments.

Students pursuing this certificate will be exposed to:

  • Statistical methods to analyze data from observational studies and experimental designs, and to communicate relevant findings to a business audience.
  • Approaches that extract actionable intelligence from firms' business data for various applications, including (but not limited to) customer segmentation, customer relationship management (CRM), personalization, online recommendation systems, web mining, and product assortment.
  • Machine learning approaches focused on applications to business data, like approaches for text mining, non-linear regression models, resampling methods, neural networks, etc..
  • Build real-world applications using modern AI tools while learning the core concepts of machine learning, natural language processing, and large language models - including advanced systems that work with text, images, and other data types. Gain hands-on experience with prompt engineering, retrieval-augmented generation, AI agents, and multimodal techniques to enhance business processes and enable smarter decision- making.

Admission Requirements

The Graduate Certificate in Applied Machine Learning is open to any applicant. Applicants must submit the University's general admission requirements to complete their application file.

Deadline: Please take note of regular application deadlines. All complete application files received by the deadline will be reviewed for admission. Students are accepted for the fall, spring, and summer semesters.

  • Fall Deadline - May 1
  • Spring Deadline - October 1
  • Summer Deadline - March 1

Applications submitted or completed after the deadline may be reviewed for admission only if spaces remain within the upcoming cohort and will be reviewed in order by the date the application file became complete.

Course Requirements

Required courses: 12 semester credit hours

BUAN 6341 Applied Machine Learning

BUAN 6343 Applied AI

BUAN 6356 Business Analytics with R

or BUAN 6383 Modeling for Business Analytics

BUAN 6359 Advanced Statistics for Data Science

Graduate Certificate in Applied Data Engineering for Managers

Faculty

Professors: Ashiq Ali, Alain Bensoussan, Gary Bolton, Metín Çakanyildirim, Huseyin Cavusoglu, Jianqing Chen, William M. Cready, Gregory G. Dess, Umit G. Gurun, Dorothée Honhon, Kyle Hyndman, Varghese S. Jacob, Sanjay Jain, Ganesh Janakiraman, Elena Katok, Dmitri Kuksov, Nanda Kumar, Seung-Hyun Lee, Zhiang (John) Lin, Sumit K. Majumdar, Stanimir Markov, Amit Mehra, Syam Menon, Vijay S. Mookerjee, B. P. S. Murthi, Vikram Nanda, Özalp Özer, Mike W. Peng, Hasan Pirkul, Cuili Qian, Suresh Radhakrishnan, Srinivasan Raghunathan, Ram C. Rao, Brian Ratchford, Michael J. Rebello, Gil Sadka, Sumit Sarkar, Suresh P. Sethi, Kathryn E. Stecke, Riki Takeuchi, Wing Kwong (Eric) Tsang, Jun Xia, Ying Xie, Harold Zhang, Zhiqiang (Eric) Zheng

Associate Professors: Mehmet Ayvaci, Nina Baranchuk, Zhonglan Dai, Rebecca Files, Michael Hasler, Bin Hu, Surya N. Janakiraman, Robert L. Kieschnick Jr., Atanu Lahiri, Jun Li, Ningzhong Li, Maria Loumioti, Lívia Markóczy, Ramachandran (Ram) Natarajan, Naim Bugra Ozel, H. Dennis Park, Anyan Qi, Young U. Ryu, Serdar Simsek, Harpreet Singh, Upender Subramanian, Shouqiang Wang, Kelsey D. Wei, Han (Victor) Xia, Yexiao Xu, Alejandro Zentner, Jieying Zhang, Zhe (James) Zhang, Feng Zhao, Yibin Zhou

Assistant Professors: Khai Chiong, Rafael Copat, Soraya Fatehi, Andrew Frazelle, Ying Huang, Joonhwi Joo, Sora Jun, Jason Kautz, Tongil Kim, Sheen Levine, Christopher Mace, Samir Mamadehussene, Jean-Marie Meier, Radha Mookerjee, Jedson Pinto, Ignacio Rios Uribe, Alejandro Rivera Mesias, Simon Siegenthaler, Kirti Sinha, Xiaoxiao Tang, Shervin Tehrani, Ashwin Venkataraman, Guihua Wang, Hongchang Wang, Pingle Wang, Junfeng Wu, Steven Xiao, Yingjie Zhang

Associate Professors Emeriti: J. Richard Harrison, Jane Salk, David J. Springate

Clinical Professors: John Barden, Britt Berrett, Abhijit Biswas, Shawn Carraher, Larry Chasteen, Paul Convery, Howard Dover, Randall S. Guttery, William Hefley, Robert Hicks, Marilyn Kaplan, Sonia Leach, Peter Lewin, Jeffrey Manzi, John McCracken, Divakar Rajamani, Daniel Rajaratnam, Kannan Ramanathan, Mark Thouin, McClain Watson, Jeff Weekley, Habte Woldu, Fang Wu

Clinical Associate Professors: Shawn Alborz, Dawn Owens, Carolyn Reichert, Avanti P. Sethi, Ramesh Subramoniam, Aysegul Toptal, David Widdifield

Clinical Assistant Professors: Athena Alimirzaei, Christina (Krysta) Betanzos, Moran Blueshtein, Jerome Gafford, Jeffery (Jeff) Hicks, Revansiddha Khanapure, Liping Ma, Ravi Narayan, Parneet Pahwa, Jason Parker, Nassim Sohaee

Professors of Instruction: Semiramis Amirpour, Mary Beth Goodrich, Chris Linsteadt, Matt Polze, Luell (Lou) Thompson

Associate Professors of Instruction: Vivek Arora, Judd Bradbury, Monica E. Brussolo, Amal El-Ashmawi, Ayfer Gurun, Maria Hasenhuttl, Julie Haworth, Thomas (Tom) Henderson, Kathryn Lookadoo, Sarah Moore, Hubert Zydorek

Assistant Professors of Instruction: Negin Enayaty Ahangar, Joseph Mauriello, Rasoul Ramezani, Gaurav Shekhar

Professors of Practice: Gregory Ballew, Tiffany A. Bortz, Ranavir Bose, Alexander Edsel, Rajiv Shah

Associate Professors of Practice: Richard Bowen, Jackie Kimzey, David Parks, Margaret Smallwood, Steven Solcher, Kathy Zolton

Assistant Professors of Practice: Khatereh Ahadi, Steven Haynes, Abu Naser Islam, Edward Meda, Paul Nichols, Timothy Stephens, Guido Tirone, Robert Wright

Senior Lecturer: Juliann Chapman

Overview

The Graduate Certificate in Applied Data Engineering for Managers comprises courses that teach statistics geared towards data engineering needs, important concepts in big data, and data analytics platforms for business applications. The certificate will help students learn concepts related to the application of data engineering concepts like data provisioning and pipelining in business contexts.

Students pursuing this certificate will be exposed to:

  • Structured Query Language (SQL) and NoSQL databases and focus on understanding the differences, and to learn how to effectively query SQL and NoSQL databases.
  • Big data systems and operations, which will enable them to perform distributed analytics programming to report findings on their datasets.
  • Conceptual understanding of platforms for business analytics and key business drivers that lead to business initiatives.
  • Dealing with massive volumes and velocity of data to be more efficient in improving data quality and speed of access using languages like Scala.

Admission Requirements

The Graduate Certificate in Applied Data Engineering for Managers is open to any applicant. Applicants must submit the University's general admission requirements to complete their application file.

Deadline: Please take note of regular application deadlines. All complete application files received by the deadline will be reviewed for admission. Students are accepted for the fall, spring, and summer semesters.

  • Fall Deadline - May 1
  • Spring Deadline - October 1
  • Summer Deadline - March 1

Applications submitted or completed after the deadline may be reviewed for admission only if spaces remain within the upcoming cohort and will be reviewed in order by the date the application file became complete.

Course Requirements

Required courses: 12 semester credit hours

BUAN 6320 Database Foundations for Business Analytics

BUAN 6335 Organizing for Business Analytics Platforms

BUAN 6346 Big Data

BUAN 6347 Advanced Big Data Analytics

Graduate Certificate in Analytics for Managers

Faculty

Professors: Ashiq Ali, Alain Bensoussan, Gary Bolton, Metín Çakanyildirim, Huseyin Cavusoglu, Jianqing Chen, William M. Cready, Gregory G. Dess, Umit G. Gurun, Dorothée Honhon, Kyle Hyndman, Varghese S. Jacob, Sanjay Jain, Ganesh Janakiraman, Elena Katok, Dmitri Kuksov, Nanda Kumar, Seung-Hyun Lee, Zhiang (John) Lin, Sumit K. Majumdar, Stanimir Markov, Amit Mehra, Syam Menon, Vijay S. Mookerjee, B. P. S. Murthi, Vikram Nanda, Özalp Özer, Mike W. Peng, Hasan Pirkul, Cuili Qian, Suresh Radhakrishnan, Srinivasan Raghunathan, Ram C. Rao, Brian Ratchford, Michael J. Rebello, Gil Sadka, Sumit Sarkar, Suresh P. Sethi, Kathryn E. Stecke, Riki Takeuchi, Wing Kwong (Eric) Tsang, Jun Xia, Ying Xie, Harold Zhang, Zhiqiang (Eric) Zheng

Associate Professors: Mehmet Ayvaci, Nina Baranchuk, Zhonglan Dai, Rebecca Files, Michael Hasler, Bin Hu, Surya N. Janakiraman, Robert L. Kieschnick Jr., Atanu Lahiri, Jun Li, Ningzhong Li, Maria Loumioti, Lívia Markóczy, Ramachandran (Ram) Natarajan, Naim Bugra Ozel, H. Dennis Park, Anyan Qi, Young U. Ryu, Serdar Simsek, Harpreet Singh, Upender Subramanian, Shouqiang Wang, Kelsey D. Wei, Han (Victor) Xia, Yexiao Xu, Alejandro Zentner, Jieying Zhang, Zhe (James) Zhang, Feng Zhao, Yibin Zhou

Assistant Professors: Khai Chiong, Rafael Copat, Soraya Fatehi, Andrew Frazelle, Ying Huang, Joonhwi Joo, Sora Jun, Jason Kautz, Tongil Kim, Sheen Levine, Christopher Mace, Samir Mamadehussene, Jean-Marie Meier, Radha Mookerjee, Jedson Pinto, Ignacio Rios Uribe, Alejandro Rivera Mesias, Simon Siegenthaler, Kirti Sinha, Xiaoxiao Tang, Shervin Tehrani, Ashwin Venkataraman, Guihua Wang, Hongchang Wang, Pingle Wang, Junfeng Wu, Steven Xiao, Yingjie Zhang

Associate Professors Emeriti: J. Richard Harrison, Jane Salk, David J. Springate

Clinical Professors: John Barden, Britt Berrett, Abhijit Biswas, Shawn Carraher, Larry Chasteen, Paul Convery, Howard Dover, Randall S. Guttery, William Hefley, Robert Hicks, Marilyn Kaplan, Sonia Leach, Peter Lewin, Jeffrey Manzi, John McCracken, Divakar Rajamani, Daniel Rajaratnam, Kannan Ramanathan, Mark Thouin, McClain Watson, Jeff Weekley, Habte Woldu, Fang Wu

Clinical Associate Professors: Shawn Alborz, Dawn Owens, Carolyn Reichert, Avanti P. Sethi, Ramesh Subramoniam, Aysegul Toptal, David Widdifield

Clinical Assistant Professors: Athena Alimirzaei, Christina (Krysta) Betanzos, Moran Blueshtein, Jerome Gafford, Jeffery (Jeff) Hicks, Revansiddha Khanapure, Liping Ma, Ravi Narayan, Parneet Pahwa, Jason Parker, Nassim Sohaee

Professors of Instruction: Semiramis Amirpour, Mary Beth Goodrich, Chris Linsteadt, Matt Polze, Luell (Lou) Thompson

Associate Professors of Instruction: Vivek Arora, Judd Bradbury, Monica E. Brussolo, Amal El-Ashmawi, Ayfer Gurun, Maria Hasenhuttl, Julie Haworth, Thomas (Tom) Henderson, Kathryn Lookadoo, Sarah Moore, Hubert Zydorek

Assistant Professors of Instruction: Negin Enayaty Ahangar, Joseph Mauriello, Rasoul Ramezani, Gaurav Shekhar

Professors of Practice: Gregory Ballew, Tiffany A. Bortz, Ranavir Bose, Alexander Edsel, Rajiv Shah

Associate Professors of Practice: Richard Bowen, Jackie Kimzey, David Parks, Margaret Smallwood, Steven Solcher, Kathy Zolton

Assistant Professors of Practice: Khatereh Ahadi, Steven Haynes, Abu Naser Islam, Edward Meda, Paul Nichols, Timothy Stephens, Guido Tirone, Robert Wright

Senior Lecturer: Juliann Chapman

Overview

The Graduate Certificate in Analytics for Managers comprises courses that teach statistics geared towards data modeling and engineering needs, important concepts in data analytics platforms for business applications and graphical charting of insights for decision making. The certificate will help students learn concepts related to the application of data analytics concepts like data modeling and data visualization in business contexts.

Students pursuing this certificate will be exposed to:

  • Statistical methods to analyze data from observational studies and experimental designs, and to communicate relevant findings to a business audience.
  • Conceptual understanding of platforms for business analytics and key business drivers that lead to business initiatives.
  • Technologies, techniques and algorithms for the creation of effective data visualization in the context of data science using techniques related to data wrangling, insight modeling, cognitive science, and graphical communication.

Admission Requirements

The Graduate Certificate in Analytics for Managers is open to any applicant. Applicants must submit the University's general admission requirements to complete their application file.

Deadline: Please take note of regular application deadlines. All complete application files received by the deadline will be reviewed for admission. Students are accepted for the fall, spring, and summer semesters.

  • Fall Deadline - May 1
  • Spring Deadline - October 1
  • Summer Deadline - March 1

Applications submitted or completed after the deadline may be reviewed for admission only if spaces remain within the upcoming cohort and will be reviewed in order by the date the application file became complete.

Course Requirements

Required courses: 12 semester credit hours

BUAN 6356 Business Analytics with R

or BUAN 6383 Modeling for Business Analytics

BUAN 6359 Advanced Statistics for Data Science

BUAN 6335 Organizing for Business Analytics Platforms

MIS 6380 Data Visualization

Graduate Certificate in Business Decision Analytics

Faculty

Professors: Ashiq Ali, Alain Bensoussan, Gary Bolton, Metín Çakanyildirim, Huseyin Cavusoglu, Jianqing Chen, William M. Cready, Gregory G. Dess, Umit G. Gurun, Dorothée Honhon, Kyle Hyndman, Varghese S. Jacob, Sanjay Jain, Ganesh Janakiraman, Elena Katok, Dmitri Kuksov, Nanda Kumar, Seung-Hyun Lee, Zhiang (John) Lin, Sumit K. Majumdar, Stanimir Markov, Amit Mehra, Syam Menon, Vijay S. Mookerjee, B. P. S. Murthi, Vikram Nanda, Özalp Özer, Mike W. Peng, Hasan Pirkul, Cuili Qian, Suresh Radhakrishnan, Srinivasan Raghunathan, Ram C. Rao, Brian Ratchford, Michael J. Rebello, Gil Sadka, Sumit Sarkar, Suresh P. Sethi, Kathryn E. Stecke, Riki Takeuchi, Wing Kwong (Eric) Tsang, Jun Xia, Ying Xie, Harold Zhang, Zhiqiang (Eric) Zheng

Associate Professors: Mehmet Ayvaci, Nina Baranchuk, Zhonglan Dai, Rebecca Files, Michael Hasler, Bin Hu, Surya N. Janakiraman, Robert L. Kieschnick Jr., Atanu Lahiri, Jun Li, Ningzhong Li, Maria Loumioti, Lívia Markóczy, Ramachandran (Ram) Natarajan, Naim Bugra Ozel, H. Dennis Park, Anyan Qi, Young U. Ryu, Serdar Simsek, Harpreet Singh, Upender Subramanian, Shouqiang Wang, Kelsey D. Wei, Han (Victor) Xia, Yexiao Xu, Alejandro Zentner, Jieying Zhang, Zhe (James) Zhang, Feng Zhao, Yibin Zhou

Assistant Professors: Khai Chiong, Rafael Copat, Soraya Fatehi, Andrew Frazelle, Ying Huang, Joonhwi Joo, Sora Jun, Jason Kautz, Tongil Kim, Sheen Levine, Christopher Mace, Samir Mamadehussene, Jean-Marie Meier, Radha Mookerjee, Jedson Pinto, Ignacio Rios Uribe, Alejandro Rivera Mesias, Simon Siegenthaler, Kirti Sinha, Xiaoxiao Tang, Shervin Tehrani, Ashwin Venkataraman, Guihua Wang, Hongchang Wang, Pingle Wang, Junfeng Wu, Steven Xiao, Yingjie Zhang

Associate Professors Emeriti: J. Richard Harrison, Jane Salk, David J. Springate

Clinical Professors: John Barden, Britt Berrett, Abhijit Biswas, Shawn Carraher, Larry Chasteen, Paul Convery, Howard Dover, Randall S. Guttery, William Hefley, Robert Hicks, Marilyn Kaplan, Sonia Leach, Peter Lewin, Jeffrey Manzi, John McCracken, Divakar Rajamani, Daniel Rajaratnam, Kannan Ramanathan, Mark Thouin, McClain Watson, Jeff Weekley, Habte Woldu, Fang Wu

Clinical Associate Professors: Shawn Alborz, Dawn Owens, Carolyn Reichert, Avanti P. Sethi, Ramesh Subramoniam, Aysegul Toptal, David Widdifield

Clinical Assistant Professors: Athena Alimirzaei, Christina (Krysta) Betanzos, Moran Blueshtein, Jerome Gafford, Jeffery (Jeff) Hicks, Revansiddha Khanapure, Liping Ma, Ravi Narayan, Parneet Pahwa, Jason Parker, Nassim Sohaee

Professors of Instruction: Semiramis Amirpour, Mary Beth Goodrich, Chris Linsteadt, Matt Polze, Luell (Lou) Thompson

Associate Professors of Instruction: Vivek Arora, Judd Bradbury, Monica E. Brussolo, Amal El-Ashmawi, Ayfer Gurun, Maria Hasenhuttl, Julie Haworth, Thomas (Tom) Henderson, Kathryn Lookadoo, Sarah Moore, Hubert Zydorek

Assistant Professors of Instruction: Negin Enayaty Ahangar, Joseph Mauriello, Rasoul Ramezani, Gaurav Shekhar

Professors of Practice: Gregory Ballew, Tiffany A. Bortz, Ranavir Bose, Alexander Edsel, Rajiv Shah

Associate Professors of Practice: Richard Bowen, Jackie Kimzey, David Parks, Margaret Smallwood, Steven Solcher, Kathy Zolton

Assistant Professors of Practice: Khatereh Ahadi, Steven Haynes, Abu Naser Islam, Edward Meda, Paul Nichols, Timothy Stephens, Guido Tirone, Robert Wright

Senior Lecturer: Juliann Chapman

Overview

The Graduate Certificate in Business Decision Analytics comprises courses that teach statistics geared towards data modeling and engineering needs, important concepts in predictive and prescriptive analytics, along with econometrics and time series analysis. The certificate will help students learn concepts related to the application of business decision making concepts around predicting and prescribing business outcomes in enterprise settings.

Students pursuing this certificate will be exposed to:

  • Statistical methods to analyze data from observational studies and experimental designs, and to communicate relevant findings to a business audience.
  • Analytical models and tools to identify opportunities as well as problems within the business operations to gain a competitive edge in today's global economy.
  • Methods to analyze time series, cross-sectional and panel data.

Admission Requirements

The Graduate Certificate in Business Decision Analytics is open to any applicant. Applicants must submit the University's general admission requirements to complete their application file.

Deadline: Please take note of regular application deadlines. All complete application files received by the deadline will be reviewed for admission. Students are accepted for the fall, spring, and summer semesters.

  • Fall Deadline - May 1
  • Spring Deadline - October 1
  • Summer Deadline - March 1

Applications submitted or completed after the deadline may be reviewed for admission only if spaces remain within the upcoming cohort and will be reviewed in order by the date the application file became complete.

Course Requirements

Required courses: 12 semester credit hours

BUAN 6359 Advanced Statistics for Data Science

BUAN 6337 Predictive Analytics for Data Science

BUAN 6343 Applied AI

BUAN 6398 Prescriptive Analytics

1. Students may use BUAN 6009 only for their first internship and any additional internship must be completed as BUAN 6V98 (3 semester credit hours maximum). Students may use BUAN 6V98 or BUAN 6390 to fulfill the internship requirement. Students are no longer eligible to enroll in BUAN 6009 if they have already completed BUAN 6V98 or BUAN 6390.

Updated: 2026-07-08 16:27:51 v33.f4e0ec