M.S. in Data Science & Analytics
offered by Old Dominion University

M.S. in Data Science & Analytics
at
ODU
Overview

Advanced Training in Analytics, Machine Learning, and Big Data Technologies for Real-World Impact

M.S. in Data Science & Analytics

Table of content

Skills you will learn

Who should do this course?

Individuals with backgrounds in fields such as computer science, mathematics, statistics, engineering, economics, or related disciplines

What are the course deliverables?

Graduates will be adept at collecting, cleaning, and transforming raw data into structured formats suitable for analysis, utilizing a variety of tools and techniques
Students will develop advanced skills in statistical methods and modeling techniques to identify patterns, trends, and relationships within datasets, and to make predictions and inference based on data
Graduates will gain hands-on experience with machine learning algorithms and tools, enabling them to build and deploy predictive models for tasks such as classification, regression, clustering, and recommendation systems
Students will learn to work with large-scale datasets using distributed computing frameworks such as Hadoop and Spark, as well as cloud-based platforms like AWS, Azure, and Google Cloud Platform

More about this course

The Master of Science in Data Science and Analytics is a 30-credit hour, non-thesis degree program. The curriculum consists of a core of 18 credits (6 courses), a choice of four concentrations, and a capstone project
The objective of the core is to lay the foundation required by a data scientist working in any field. Core courses will establish proficiency in data discovery, collection, processing, and cleaning; exploratory data analysis using statistics and visual analytics; and statistical modeling for prediction/forecasting

Core Courses

CS 620/DASC 620 Introduction to Data Science and Analytics

CS 624 Data Analytics and Big Data*

CS 625 Data Visualization*

Capstone

DASC 690 Capstone Project

Business Intelligence & Analytics

BNAL 503 Data Exploration and Visualization

BNAL 515 Advanced Business Analytics with Big Data Applications

IT 650 Database Management Systems

IT 651 Business Intelligence

PTE

Other eligibility criteria Up Arrow Icon

Conditional Offer Up Arrow Icon

Yes
If your native language is not English, evidence of English proficiency must be demonstrated to enroll in academic, credit bearing courses. Conditional admission to Old Dominion University is offered only to those highly qualified applicants meeting University admission requirements with the exception of English language proficiency. Granting of conditional admission is subject to program approval, and may not be available for all programs of study. Admitted students who have not satisfied the English language requirement are automatically offered intensive English language studies at the on-campus English Language Center.
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