University of North Carolina at Pembroke · Courses
DSC
27 courses with the subject DSC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
DSC 1590Technology-Enabled Decision Making (3 credits)3
This course introduces pertinent elements of computer applications as they relate to making informed decisions. New and emerging learning technologies are introduced and employed to accentuate critical thinking and problem solving skills. Additionally, the course emphasizes effective communication and collaboration in a technology-rich learning environment. Excel spreadsheets are introduced and utilized extensively in this course. Other techniques taught include collection, analysis, interpretation, and presentation of data as well as the effective use of Internet search tools and electronic databases.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 2090Spreadsheet and Database Management (3 credits)3
A comprehensive course in advanced spreadsheet analysis and the fundamentals of database management. The focal point in this course will be on the use of spreadsheet analysis and database management to address contemporary business problems. Students should have experience using spreadsheets.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
A study of descriptive statistics including functional and summation notation, describing data graphically and numerically, and probability distributions. PREREQ: C or better in MAT 1070 or a higher-level mathematics class.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
A study of statistical inference including probability theory, random variables and probability distributions, testing hypotheses, estimating unknown parameters, analysis of variance, and linear and multiple regression. PREREQ: A “C” or better in DSC 3130 .
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
Focused on business applications, this course includes descriptive statistics, probability distributions, sampling distributions, estimation of confidence intervals, hypothesis testing, one-way analysis of variance (ANOVA), and linear regression analysis. PREREQ: C or better in MAT 1070 or a higher-level mathematics class.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
This course covers the concepts and methodologies in data analytics, the techniques of using data analytics to obtain information and intelligence, and the applications of data analytics in business decision making. Topics include data collection, cleaning, and summarization, data visualization, data mining, analysis of variance, interpreting data analysis results, and reporting findings from a data analysis process. PREREQ: C or better in DSC 3140 or in DSC 3180 or its equivalents
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 3290Software Applications in Business Analytics (3 credits)3
This course introduces the fundamentals in business analytics and covers the basic programming techniques such as those in R, Python, SAS, and other comparable analytic software. Topics include introduction of business analytics, software installation and infrastructure, importing and exporting different types of data, manipulating, cleaning, and summarizing data, visualizing data, reading from and writing to files, writing and debugging basic scripts, implementing programming techniques for machine learning, including, but not limited to, regression analysis and classification, as well as reporting data analysis results. PREREQ: A “C” or better in MAT 1070 or in DSC 2090
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 3300Descriptive Analytics and Visualization (3 credits)3
This course covers descriptive, diagnostic, data mining, and visualization tools and techniques featured in software such as EXCEL, Tableau, and Microsoft Power BI. Topics include data types, identifying trends and relationships in data; generating, analyzing, and reporting descriptive, diagnostic, and data mining results, data sourcing and preparation for visual analytics, setting clear framework for a data visualization task, generating different types of charts and graphs using both static and live datasets, interpreting information contained in a visual context, outputting and sharing visualized data, and reporting the analysis results of visualized data for decision making. PREREQ: A “C” or better in MAT 1070 or in DSC 2090
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
This course is an introductory level course in Predictive Analytics. This course introduces regression and forecasting techniques and analyses. It focuses on regression methods and forecasting techniques; and their applications in business decision making. PREREQ: A “C” or better in DSC 3180
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
This course introduces an overview of simulation and risk analysis and the common techniques of optimization. It focuses on basic Monte Carlo simulation, risk analysis and methods of creating mathematical models for optimization problems and their applications in business decision making. PREREQ: A “C” or better in DSC 3180.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 4800Internship in Business Analytics (3 credits)3
A work experience in a business firm where the student, under academic and employer supervision, participates in business analytics-related tasks, applies business analytics to business issues, and helps to make sound business decisions. (A minimum of 135 work hours are required). Students must keep an extensive diary of work experiences and submit frequent reports to the academic supervisor. Pass/Fail. May be repeated for credit. PREREQ: Minimum of 90 semester hours, cumulative GPA of 2.5 or better, a written proposal, a written consent of Department Chair
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Repeatable
May be repeated for credit.
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 4850Senior Project in Business Analytics (3 credits)3
A senior project course that integrates the fundamentals of business analytics to solve a complex real-world business problem. This course provides an opportunity to apply business analytics tools and techniques and offers a capstone experience. The course enhances the understanding of the business analytics processes and their associated challenges. The project is largely a self-directed course with the guidance of the instructor in completing the project. The project concludes with the submission of a final report in business analytics. PREREQ: A “C” or better in DSC 3290, DSC 3300, DSC 4700, and in DSC 4750.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 4990Directed Studies in Decision Sciences (1-3 credits)1-3
Independent study in an area of decision sciences of particular interest to a student under the direction of one or more faculty members. Students must submit detailed proposals for a directed study, detailing the proposed plan of study, research involved, dates for deliverables, final product to be produced, and faculty who will be supervising. Proposals will be reviewed by a faculty committee to determine acceptance of the proposal. PREREQ: DSC 2090, DSC 3130 .
Subject
DSC
Credits (min)
1
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 5010Foundations of Analytical Methods (4 credits)4
This course equips prospective MBA students with the means and methods of quantitative reasoning through a concise and applied process, which includes introduction to the concepts of mathematical economics, mathematical finance, and business mathematics. The course will cover essentials of algebra with business and economic applications and essentials of calculus with business and economic applications. Upon completing the course students will be able to apply mathematical thinking and quantitative reasoning to solve problems in MBA-level accounting, economics, finance, marketing, and management classes. The applications of concepts include, but are not limited to, Pricing and Inventory Control; Payrolls and Banking; Taxes; Simple Interest; Compound Interest; Annuities; Sinking Funds and Amortization; Accounting; Productivity and Costs, Constrained Optimization (consumer and producer theories); Market Equilibrium; and Elasticities of Demand and Supply. (This course will not count toward the 36 hours required for the MBA degree.)
Subject
DSC
Credits (min)
4
Credits (max)
4
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 5050Foundations of Business Statistics (3 credits)3
This course is an accelerated course designed for students with no statistics background or as a refresher course for students who desire to review statistical methods before enrolling in required MBA courses. Intensive examination of statistical and graphical methods of analyzing quantitative information. Specific topics include frequency distribution, probability, sampling, T-tests, correlation, various graphic forms, regression analysis, and analysis of variance. (This course will not count toward the 36 hours required for the MBA degree.)
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
Intermediate level quantitative skills in multivariate statistics, optimization, and decision-making which will be used in subsequent MBA courses. Topics will include multiple regression, multivariate ANOVA, logistic regression, factor analysis, and linear programming. Computer software will be used.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
This course details the methods employed in defining business problems, research design, primary and secondary data sources, methods of data collection, scaling methods, sampling techniques, and report preparation. Through case analyses, literature reviews and research projects, this applications oriented course focuses on improving decision making.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
This course introduces the principles in business analytics and covers basic programming techniques such as those in R, Python, and other comparable analytic software. Topics include the fundamental data analytics concepts, procedures, and principles that are implemented in programming techniques, importing and exporting different types of data, managing data frame, writing basic scripts, debugging, reading from and writing to files, running regression and classification for modeling and forecasting tasks, conducting data analyses in business, and reporting analysis results in formal writing.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
This course covers a variety of intermediate statistical tools which are used in business data analytics and discusses ways to determine how well the assumptions that underlie these methods describe real-world data problems. Topics include multiple regression and diagnostics tests, categorical response models, cluster analysis, factor and latent variables analysis. PREREQ: DSC 5050 or equivalent.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 5300Managerial Descriptive Analytics and Visualization (3 credits)3
This course covers descriptive analytics techniques and visualization tools for business professionals and managers. Topics include database concepts, SQL data querying, analyzing, and reporting descriptive data. Visual analytics would include exercises in generating different types of charts and graphs using tools such as Excel and Tableau. Further, it includes reporting and analyzing visualized data for managerial decision-making.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
This course is one of the required courses in Business Analytics to concentration in Business Analytics in MBA. This course intends to investigate and analyze the large volume of data to predict patterns or associations and generate insights for business organizations. This course will discuss on principles, models, and methods related to the managerial predictive analytics.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
This course is one of the required courses in Business Analytics to concentration in Business Analytics in MBA. This course consists of simulations, and mathematical optimization models like linear programming, integer programming, decision analysis, etc. Students will learn several decisions making and managerial prescriptive analytics tools and skills in a variety of business applications.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
A review of statistical methods for analysis of business time-series data. Use of these methods for forecasting will also be discussed. The methods surveyed include smoothing methods, filters, ARIMA models, vector autoregressive models, and cointegration models. PREREQ: DSC 5050 or equivalent
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
DSC 5600Project in Business Analytics (3 credits)3
This course will bring together fundamentals of business analytics related to database management, data analysis techniques and business decision making to solve a real-world business problem. Specific emphasis will be given on problem identification, data selection, model building, data driven diagnosis, reporting and presentation on industry behavior based on the data. This course will give students the experience of working in a Business Analytic team. PREREQ: DSC 5190, DSC 5240, DSC 5550.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
Independent study in an area of business administration of particular interest to a student under the direction of one or more faculty members. Students must submit detailed proposals for a directed study, detailing the proposed plan of study, research involved, dates for deliverables, final product to be produced and faculty who will be supervising. Proposals will be reviewed by a faculty committee to determine acceptance of the proposal.
Subject
DSC
Credits (min)
3
Credits (max)
3
Type
course
Edition
2026-2027
Catalog
The University of North Carolina at Pembroke 2026-2027 Catalog
