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Westcliff University’s MBA in Data Analytics is a 2-year, 60-credit program designed to prepare professionals with the skills required to manage and analyze large-scale data for business decision-making. The program emphasizes practical application, covering areas such as database technology, cloud and big data management, data mining, supply chain analytics, and time series analytics.
The curriculum balances technical expertise with managerial training, equipping graduates to lead analytics projects while addressing business challenges. Students learn to translate data into actionable insights that drive efficiency, growth, and innovation across industries including healthcare, finance, marketing, e-commerce, transportation, and more.
Structured with flexibility for working professionals, the program adopts a hybrid approach that meets global academic standards while incorporating relevant business perspectives. Graduates earn an internationally recognized degree, positioning them to compete in both domestic and international markets.
Curricular Structure
| Module Code | Module Title | Credit Hours |
|---|---|---|
| FIN 500 | Financial & Accounting Skills for Managers | 3 |
| MKT 500 | Marketing Management | 3 |
| ORG 500 | Organizational Behavior | 3 |
| ECO 500 | Managerial Economics | 3 |
| LDR 500 | Organizational Leadership | 3 |
| MIS 500 | Managing Information Systems & Technology | 3 |
| MGT 500 | Strategic Management in a Globalized Economy | 3 |
| MGT 600 | Influential & Impactful Communication | 3 |
| RES 600 | Business Research Methodology | 3 |
| BUS 626 | Statistical Analysis for Decision-Making Process | 3 |
| MIS 550 | Big Data Analytics and Visualization | 3 |
| CLD 600 | Virtualization and Storage | 3 |
| PRG 630 | Python Programming | 3 |
| DATA 635 | Applied Statistics for Optimization | 3 |
| DATA 615 | Social Media and Web Analytics for Business | 3 |
| EMT 600 | Artificial Intelligence and Machine Learning | 3 |
| DATA 610 | Database Design and Management | 3 |
| DATA 605 | Data Engineering | 3 |
| DATA 630 | Regressions and Time Series Models | 3 |
| CAP 600 | Applied Methods Capstone (Information Technology Focused) | 3 |