Data Analytics

Faculty

Dr. Hani Aladmaai, Director of Information Technology
Dr. Kaitlin Wellens, Clare Boothe Luce Assistant Professor of Biology
Dr. Steven Gable, Associate Professor of Philosophy

Description

Trinity offers a minor in Data Analytics for students majoring in any subject in the College of Arts and Sciences who want to pursue careers in digital technology. The demand for digital competence is on the rise and the Data Analytics minor offers the digital fluency demanded by an increasingly data-driven and decision-making digital tech workforce.

Data Analytics is the process of effectively examining and interpreting datasets to draw a conclusion. The minor curriculum will sharpen critical thinking and problem-solving skills, strengthen scientific literacy, and build proficiency in statistical programming. The program also promotes social awareness and communication. With a minor in Data Analytics, students will master key concepts of data analysis and increase their marketability in the digital technology industry.

A Data Analytics certificate is also offered through the School of Professional Studies.

Minor Requirements

Required Courses  (18 credits)

ITEC 100 Introduction to Data AnalyticsCovers basics of how data are used to reduce uncertainty in decision-making. Introduces a set of widely used data mining tools, techniques, and applications using R software. Presents a variety of case studies and practical examples to demonstrate use of these tools.
3 credits
Pre: MATH 110
CMSC 111 Introduction to ProgrammingIntroduces fundamentals of computer programming for beginners. Covers basics of programming logic, problem-solving techniques, and Python syntax. Formerly MAT 141 Introduction to Programming.
MATH 215 Prob & Stats with ApplicationsPresents basic principles of probability and statistics, with applications to diverse fields of study. Topics include review of data and data measurement, probability, hypotheses testing and inference, regression modeling, and more. Imparts practical skills through real world case studies, applied exercises, and analyses using spreadsheet software such as Excel. For non-math majors or minors in the data analytics and bioinformatics pathways.
3 Credits
Prerequisites: MATH 102 or MATH 108 or MATH 109
ITEC 210 Data Visualization and CommunicationExplores the role of data visualization in a variety of academic fields, differentiating the types of visualization techniques available. Uses Excel and R to create static and interactive data visualizations including tables, graphs, maps, and trees. Communicates a deeper understanding of how to critically approach a problem and evaluate best fit visualization for various audiences. Using case-study scenarios and data structures, examines the data visualization and communication techniques important in many career fields, including but not limited to business analytics, statistics, and STEM.
3 Credits
Prerequisite: ITEC 100 Introduction to Data Analytics
ITEC 304 Data ManipulationPresents various data manipulation and cleaning techniques in context of the challenges of working with large data sets and information stored in databases. Case studies using data and real-life scenarios from Business, STEM, and Criminal Justice fields provide hands-on experiences using Excel, SQL, and R to create, edit, and manage large amounts of information and data.
3 Credits
Prerequisites (CAS ONLY): ITEC 100 Introduction to Data Analytics
PHIL 281 Ethical and Legal Issues in Information TechnologyExplores the ethical and legal considerations arising from rapid advancements in information technology. Addresses the complex intersection of technology, ethics, and the law, examining the ethical implications of IT practices and legal frameworks governing technology use. Formerly PHIL 281: The Ethics of Data Analytics

Generalist Credential

Students who minor in Data Analytics, in conjunction with their major, could benefit from the partnership with Capital CoLAB’s Digital Tech Credential program (Collaborative of Leaders in Academia and Business). Students could earn The Generalist Credential that prepares any major for job roles that require an understanding of data analysis. A Generalist credential opens opportunities for job shadowing, engagement with senior executives, mentoring/coaching, resume review, and priority interviews for internships. Upon completion of the minor requirements, students will receive a digital badge to display on their LinkedIn profile or resume.

Program Policies

Advanced Placement:
Credits earned through AP examinations do not fulfill requirements of the minor.

CLEP Policy:
Credits earned through CLEP examinations do not fulfill requirements of the minor.

Grades in Required Courses:
Students are required to earn a grade of “C” (2.0) or better in all courses counted to fulfill requirements for the minor.

Pass/No Pass:
With the exception of internships, courses fulfilling minor requirements may not be taken pass/no pass.

Study Abroad:
Students may meet minor requirements with courses taken during study abroad.

TELL Policy:
The Data Analytics minor supports and encourages Trinity’s TELL Program. Students applying for experiential learning credit should consult with the program faculty.

Transfer Credits:
Transfer credit from appropriately accredited institutions of higher learning may be counted for minor requirements, dependent on program review and approval. Associations recognized by the United States Department of Education (USDE) and the Commission on Higher Education (CHEA) confer appropriate accreditation; these associations include but are not limited to regional accreditors.