DATA Courses

Here is information about DATA class enrollment for fall 2025. Classes with no meeting time listed are not shown. Feel free to contact me with any questions/comments/issues. I am happy to add any departments that are missing from these listings, just reach out to ask!

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Data also available for: COMP, AAAD, AMST, ANTH, APPL, ASTR, BCB, BIOC, BIOL, BIOS, BMME, BUSI, CHEM, CLAR, CMPL, COMM, DATA, DRAM, ECON, EDUC, EMES, ENEC, ENGL, ENVR, EPID, EXSS, GEOG, HBEH, INLS, LING, MATH, MEJO, NSCI, PHIL, PHYS, PLAN, PLCY, POLI, PSYC, SOCI, STOR, WGST

Data last updated: 2025-04-29 12:07:03.711756

Class Number	Class	Meeting Time	Instructor	Room	Unreserved Enrollment	Reserved Enrollment	Total Enrollment	Wait List
12321	DATA 110 - 001 Introduction to Data Science	MoWe 2:30PM - 3:20PM	Harlin Lee	Murphey Hall-Rm 0116	56/60	Seats filled	81/85	1/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 3 units.
12335	DATA 110 - 002 Introduction to Data Science	MoWe 3:35PM - 4:25PM	Can Chen	Phillips Hall-Rm 0215	19/65	7/20	26/85	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 3 units.
13528	DATA 110 - 003 Introduction to Data Science	MoWe 9:05AM - 9:55AM	Richard Marks	TBA	Seats filled	Seats filled	0/0	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 3 units.
13529	DATA 110 - 004 Introduction to Data Science	MoWe 10:10AM - 11:00AM	To be Announced	Wilson Hall-Rm 0107	37/50	Seats filled	57/70	2/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 3 units.
13530	DATA 110 - 601 Introduction to Data Science	Fr 2:30PM - 3:20PM	To be Announced	Alumni Bldg-Rm 0207	Seats filled	Seats filled	29/29	1/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13554	DATA 110 - 602 Introduction to Data Science	Fr 2:30PM - 3:20PM	To be Announced	Hanes Hall-Rm 0107	Seats filled	Seats filled	29/29	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13555	DATA 110 - 603 Introduction to Data Science	Fr 2:30PM - 3:20PM	To be Announced	Global Education, F-Rm 3024	23/29	Seats filled	23/29	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13556	DATA 110 - 604 Introduction to Data Science	Fr 3:35PM - 4:25PM	To be Announced	Alumni Bldg-Rm 0207	6/29	Seats filled	6/29	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13557	DATA 110 - 605 Introduction to Data Science	Fr 3:35PM - 4:25PM	To be Announced	Hanes Hall-Rm 0107	12/29	Seats filled	12/29	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13558	DATA 110 - 606 Introduction to Data Science	Fr 3:35PM - 4:25PM	To be Announced	Global Education, F-Rm 3024	8/29	Seats filled	8/29	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13559	DATA 110 - 607 Introduction to Data Science	Fr 9:05AM - 9:55AM	To be Announced	Dey Hall-Rm 0304	0/34	Seats filled	0/34	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13560	DATA 110 - 608 Introduction to Data Science	Fr 9:05AM - 9:55AM	To be Announced	Hanes Hall-Rm 0107	0/34	Seats filled	0/34	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13561	DATA 110 - 609 Introduction to Data Science	Fr 9:05AM - 9:55AM	To be Announced	Alumni Bldg-Rm 0207	0/34	Seats filled	0/34	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13562	DATA 110 - 610 Introduction to Data Science	Fr 10:10AM - 11:00AM	To be Announced	Peabody Hall-Rm 2060	Seats filled	Seats filled	24/24	2/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13563	DATA 110 - 611 Introduction to Data Science	Fr 10:10AM - 11:00AM	To be Announced	Davie Hall-Rm 0112	Seats filled	Seats filled	24/24	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
13564	DATA 110 - 612 Introduction to Data Science	Fr 10:10AM - 11:00AM	To be Announced	Woollen Gym-Rm 0303	9/24	Seats filled	9/24	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
15466	DATA 110H - 001 Introduction to Data Science	TuTh 11:00AM - 12:15PM	Richard Marks	Murphey Hall-Rm 0314	Seats filled	10/18	10/18	0/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 3 units.
12509	DATA 120 - 001 Ethics of AI and Societal Decision Making	TuTh 9:30AM - 10:45AM	Hsun-ta Hsu	Chapman Hall-Rm 0125	Seats filled	Seats filled	85/85	49/999
Description: In an era of rapid advancements in data science and AI, ethical concerns related to data-intensive technologies are now of utmost importance. This course immerses students in data science ethics, facilitating a comprehensive exploration of the intricate interplay between data and societal values. By nurturing critical thinking grounded in ethical theories, this course provides students with a strong foundation in designing and analyzing data-intensive ecosystems that emphasize values such as fairness, accountability, ethics, and transparency. 3 units.
13534	DATA 120 - 002 Ethics of AI and Societal Decision Making	TuTh 8:00AM - 9:15AM	Santiago Olivella	Peabody Hall-Rm 1040	Seats filled	Seats filled	70/70	10/999
Description: In an era of rapid advancements in data science and AI, ethical concerns related to data-intensive technologies are now of utmost importance. This course immerses students in data science ethics, facilitating a comprehensive exploration of the intricate interplay between data and societal values. By nurturing critical thinking grounded in ethical theories, this course provides students with a strong foundation in designing and analyzing data-intensive ecosystems that emphasize values such as fairness, accountability, ethics, and transparency. 3 units.
12322	DATA 130 - 001 Critical Data Literacy	MoWeFr 9:05AM - 9:55AM	Alex McAvoy	Genome Sciences Bui-Rm G010	28/45	Seats filled	33/50	0/999
Description: How do you become data literate? Data literacy is the ability to read, write, and communicate data in context, or in other words: perform data analysis, construct a data visualization, and then communicate that data. It is the story that gets told with the data. Data literacy helps us to understand data, learn about different types and scales of data, and understand why this is important in the world today. 3 units.
13535	DATA 130 - 002 Critical Data Literacy	MoWeFr 3:35PM - 4:25PM	To be Announced	Wilson Hall-Rm 0107	12/35	Seats filled	27/50	0/999
Description: How do you become data literate? Data literacy is the ability to read, write, and communicate data in context, or in other words: perform data analysis, construct a data visualization, and then communicate that data. It is the story that gets told with the data. Data literacy helps us to understand data, learn about different types and scales of data, and understand why this is important in the world today. 3 units.
12323	DATA 140 - 001 Introduction to Data Structures and Management	TuTh 12:30PM - 1:45PM	Jack Snoeyink	Manning Hall-Rm 0209	24/80	Seats filled	44/100	0/999
Description: Data structures provide a means to manage large amounts of data for use in our databases and indexing services. A data structure is a specialized format for organizing, processing, retrieving and storing data. There are several basic and advanced types of data structures, all designed to arrange data to suit a specific purpose. Data structures make it easy for users to access and work with the data they need in appropriate ways. 3 units.
13536	DATA 140 - 002 Introduction to Data Structures and Management	TuTh 8:00AM - 9:15AM	To be Announced	Murphey Hall-Rm 0116	6/80	11/20	17/100	0/999
Description: Data structures provide a means to manage large amounts of data for use in our databases and indexing services. A data structure is a specialized format for organizing, processing, retrieving and storing data. There are several basic and advanced types of data structures, all designed to arrange data to suit a specific purpose. Data structures make it easy for users to access and work with the data they need in appropriate ways. 3 units.
12324	DATA 150 - 001 Communication for Data Scientists	TuTh 3:30PM - 4:45PM	Anita Crescenzi	Bingham Hall-Rm 1014	Seats filled	Seats filled	45/45	4/999
Description: The ability to collect and analyze data has changed virtually every field, yet data scientists often lack the ability to present their findings in effective formats. This class uses storytelling to help you connect with your audience and present your data in compelling and understandable ways so stakeholders can make the right decisions with data. Through hands-on exercises, you'll learn the advantages and disadvantages of oral, visual, and written formats. 3 units.
13531	DATA 150 - 002 Communication for Data Scientists	TuTh 3:30PM - 4:45PM	To be Announced	Bingham Hall-Rm 3014	Seats filled	Seats filled	45/45	2/999
Description: The ability to collect and analyze data has changed virtually every field, yet data scientists often lack the ability to present their findings in effective formats. This class uses storytelling to help you connect with your audience and present your data in compelling and understandable ways so stakeholders can make the right decisions with data. Through hands-on exercises, you'll learn the advantages and disadvantages of oral, visual, and written formats. 3 units.
15048	DATA 520 - 001 Research-Methods for Socially Responsible AI: An Ethical Expedition	TuTh 11:00AM - 12:15PM	Neil Gaikwad	Dey Hall-Rm 0307	30/37	Seats filled	30/37	0/999
Description: Prerequisite, DATA 120 or permission from the instructor. This research-focused course immerses students in socially and ethically responsible Artificial Intelligence. Emphasizing hands-on experience, the course guides students through the intricacies of conducting ethically responsible AI research with a keen focus on AI fairness, societal impacts, and real-world applications. Students collaborate in teams, selecting their preferred research area and societal problem from broader data science themes, and pursue a semester-long data science project under the guidance of the faculty and advanced graduate student teaching assistants. The course curriculum spans crucial topics including exploration of emerging trends in AI and data science. 3 units.
15047	DATA 521 - 001 Foundations in Artificial Intelligence	TuTh 8:00AM - 9:15AM	Chudi Zhong	Carolina Hall-Rm 0220	1/50	Seats filled	1/50	0/999
Description: Prerequisites, COMP 110, COMP 116, or STOR 120; and BIOS 635, COMP 562, STOR 565, STOR 566, or MATH 560; and STOR 435/MATH 535, STOR 535, or STOR 634; and MATH 347; and STOR 315, COMP 283 or MATH 381. This course provides a comprehensive introduction to the foundations of artificial intelligence. Students will explore a range of topics including search algorithms, constraint satisfaction, and optimization problems, as well as logic and reasoning. The course will introduce probabilistic reasoning, decision theory, and Markov decision processes as frameworks for decision-making under uncertainty. In addition, students will learn the fundamentals of machine learning and examine key issues in trustworthy AI, focusing on fairness, interpretability, and ethical considerations. This course emphasizes both theoretical understanding and practical applications, preparing students to analyze and design AI systems in a variety of domains. 3 units.
14138	DATA 540 - 001 Introduction to Risk Management and Insurance	TuTh 3:30PM - 4:45PM	Rachel Baum	Howell Hall-Rm 0115	29/50	Seats filled	29/50	0/999
Description: Pre- or corequisite, Two or more of the following classes (or permission of the instructor): MATH 231, MATH 232, STOR 151, STOR 155, BIOS 511, BIOS 512, BIOS 600, ECON 400, BIOL/ENEC 562 . Introduces the motivations, objectives, and principles of financial risk management through the lens of insurance, reinsurance and financial institutions. Students will become familiar with key concepts that shape these industries so they can effectively communicate using industry vocabulary, metrics, and tools. Standards governing financial risk management are introduced as are the different types of risks that financial institutions, insurers and reinsurers analyze when conducting business. Students will make use of software and tools to characterize and price risk in various activities, carry out basic quantitative risk assessments, and learn what drives success and failure in financial risk management. 3 units.
14136	DATA 541 - 001 Natural Hazards and Financial Risk	MoWe 3:35PM - 4:50PM	Greg Characklis	Gardner Hall-Rm 0105	23/25	Seats filled	23/25	0/999
Description: Pre- or corequisite, At least 2 of the following courses in mathematics or statistics (or permission of instructor): MATH 231, MATH 232, STOR 151, STOR 155, BIOS 511, BIOS 512, BIOS 600, ECON 400, BIOL/ENEC 562; some programming experience (COMP 110, COMP 116, or BIOS 511) helpful, but not required. Society's growing exposure to the financial risks associated with natural hazards (e.g., flood, drought, extreme temperatures) has made it increasingly important to both accurately quantify these risks and develop innovative strategies for managing them. This course provides exposure to the fundamentals of financial risk management with application to natural hazards an emphasis on developing coupled models that consider natural variability, engineered/managed structures and financial/economic factors. Students will learn to (i) model the financial risk posed by extreme events; (ii) understand the merits of various risk management tools; and (iii) develop effective strategies for managing natural hazard-based financial risk. 3 units.
15467	DATA 590 - 001 Special Topics in Data Science	MoWe 12:20PM - 1:35PM	Richard Marks	Sitterson Hall (inc-Rm SN011	9/40	Seats filled	9/40
Description: Prerequisite, DATA 110 and MATH 347. This course has variable content and may be taken multiple times for credit. Different sections may be taken in the same semester. 3 units.
12593	DATA 890 - 003 Special Topics in Data Science	MoWeFr 10:10AM - 11:00AM	Can Chen	ITS Manning-Rm 1101	4/25	Seats filled	4/25	0/999
Description: The course goal is to expose graduate students in any UNC department to a broad range of topics in the theory and applications of data science. Students will learn about current and emerging methods and techniques in data science to advance individual research efforts and facilitate inter-disciplinary collaboration. Open to graduate students only and by permission only. 3 units.
13553	DATA 890 - 005 Special Topics in Data Science	TuTh 9:30AM - 10:45AM	To be Announced	Dey Hall-Rm 0305	1/50	Seats filled	1/50	0/999
Description: The course goal is to expose graduate students in any UNC department to a broad range of topics in the theory and applications of data science. Students will learn about current and emerging methods and techniques in data science to advance individual research efforts and facilitate inter-disciplinary collaboration. Open to graduate students only and by permission only. 3 units.