Data Science and Analysis BS, - University of M

Tuition Fee

Start Date

Medium of studying

Duration

Program Facts

Program Details

Degree

Bachelors

Major

Data Science | Data Analytics | Data Analysis

Area of study

Information and Communication Technologies

Course Language

English

About Program

Program Overview

This program provides a comprehensive foundation in data science, with core courses in calculus, statistics, data analysis, and computing. Students can specialize in Supply Chain Analytics, with emphasis courses covering supply chain management, logistics, and optimization. The program prepares graduates for careers in data analysis, supply chain management, and related fields.

Program Outline

Outline:

Core Course:

MATH 1800: Analytic Geometry and Calculus I (13-5 credits) or MATH 1100: Basic Calculus Statistics Course (3 credits): Options include SOC/ANTHRO 3220, BIOL 4122, ECON 3100, CRIMIN 2220, MATH 1320, PSYCH 2201, POL SCI 3000, SCMA 3300 MATH 4005: Exploratory Data Analysis with R (3 credits) CMP SCI 1250: Introduction to Computing (3 credits) CMP SCI 4200: Python for Scientific Computing and Data Science (3 credits) CMP SCI 4342: Introduction to Data Mining (3 credits)

Total Hours:

18-20 credits

Emphasis Area Requirements:

Supply Chain Analytics Emphasis:

SCMA 3301: Introduction to Supply Chain Management (3 credits) SCMA 3320: Advanced Supply Chain and Operations Management (3 credits) SCMA 4330: Business Logistics (3 credits) SCMA 4331: Applied Supply Chain Modeling (3 credits) SCMA 4350: Prescriptive Analytics and Optimization (3 credits)

Elective (Choose one):

SCMA 3345: Predictive Analytics and Data Mining
SCMA 3390: Internship in Supply Chain and Analytics
SCMA 3398: Seminar in Supply Chain Management and Analytics (1 credit)
SCMA 4389: Supply Chain Management Practicum

Data Science and Analysis BS, Supply Chain Analytics Emphasis