Rowan University United States

Ph.D. in Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 3 Years
Mode On Campus
Level Postgraduate
Degree PhD
Closing soon March 2027

Course Overview

Embark on your academic journey with the Ph.D. in Data Science at Rowan University, a program designed for aspiring researchers and professionals ready to tackle the complexities of big data. You will delve into the critical challenges and opportunities within this dynamic field, developing the advanced analytical and inquiry skills necessary to conduct independent research. This postgraduate degree is structured around interdisciplinary focal areas in computer science, engineering, mathematics, and statistics, providing you with a comprehensive understanding of data science principles and their applications.

This full-time, on-campus Ph.D. program, typically completed over three years, integrates traditional lectures with experiential learning, including thesis research and potentially directed independent study. You will gain proficiency in essential scientific principles such as critical thinking, experimental design, data preprocessing, visualization, and advanced statistical learning, machine learning, and data mining techniques. You will graduate with the robust research capabilities and technical writing skills needed to excel in academic, corporate, or governmental research roles, contributing meaningfully to the data-driven world.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

The Ph.D. in Data Science program offers a comprehensive curriculum designed to equip students with advanced knowledge and skills in the field. Core coursework covers essential areas such as big data tools, probability and statistics, machine learning, and optimization techniques. Students will also engage in electives to deepen their expertise in specialized topics like data mining, database systems, visual analytics, and various machine learning applications. The program culminates in doctoral research and dissertation work, allowing students to contribute original research to the field of data science.

1 Required Courses (21 S.H.)

Big Data Tools and Techniques
Probability and Mathematical Statistics I
Applied Multivariate Data Analysis
Machine Learning I Compulsory
Advanced Topics in Pattern Recognition Compulsory
Operations Research I Compulsory
Engineering Optimization Compulsory
Effective Teaching in Academic, Corporate and Gov’t Settings
Strategic Technical Writing and Winning Grant Proposals

2 Elective Courses (21-30 S.H.)

Data Mining I
Advanced Database Systems: Theory and Programming
Data Mining II
Data Warehousing
Data Quality and Web/Text Mining
Advanced Topics in Database Systems
Advanced Design and Analysis of Algorithms
Visual Analytics
Advanced Topics in Data Science
Reinforcement Learning
Artificial Neural Networks
Advanced Topics in Systems, Devices, and Algorithms in Bioinformatics
Discrete Event Systems
Advanced Engineering Cybersecurity
Advanced Portable Platform Development
Advanced Emerging Topics in Computational Intelligence, Machine Learning, and Data Mining
Advanced Computational Intelligence and Machine Learning
Probability and Mathematical Statistics II
Introduction to Statistical Data Analysis
Statistical Computing
Decision Analysis
Design and Analysis of Experiments
Applied Survival Analysis
Introduction to Bayesian Statistical Methods

3 Thesis Coursework (21-30 S.H.)

Doctoral Research and Dissertation

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 14,824.00
Second Year Fee Tuition fee
USD 14,824.00
Third Year Fee Tuition fee
USD 14,824.00
Total Program Cost Estimated total tuition
USD 44,472.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,325.00 - USD 3,705.00
Food & Groceries USD 3,000.00 - USD 4,560.00
Transport USD 600.00 - USD 1,200.00
Utilities & Bills USD 960.00 - USD 1,800.00
Estimated Total USD 4,560.00 - USD 7,560.00

Living cost estimates are based on Glassboro Campus.

Outcomes & Employability

What happens after you graduate

93%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Advertising Finance & OperationsCloud Computing & InfrastructureCustomer Experience & SupportCybersecurityIntelligence & InvestigationsLean Manufacturing & Process ImprovementPerformance & Growth MarketingPolice & Public SafetySatellite CommunicationsSocial Media & Community Management

Top Employers Hiring for this course

Camden City School District

Camden County College

General Dynamics Information Technology

Google

IBM

Lockheed Martin

Why Study Ph.D. in Data Science at Rowan University

What makes this program stand out

March 2027 Closing soon

Next intake is in March 2027

Moderate Application response time

Rowan University typically responds to applications within 1 - 2 weeks, giving you clarity on your options quickly.

Life at Rowan University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Ph.D. in Data Science at Rowan University

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. On-campus work does not require a separate permit, while off-campus work after the first year requires university approval.

What English language score do I need for this course?

English language proficiency is demonstrated through tests like Duolingo, TOEFL, IELTS, or PTE, with varying score requirements. For example, a minimum Duolingo overall score of 110 is necessary for admission.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Scientists, Research Analysts, Machine Learning Engineers, Data Engineers, or Statisticians.

What will I actually study in this course?

This program covers critical challenges in big data and offers interdisciplinary studies in areas like computer science and statistics. Students will develop advanced research and analytical skills essential for professional success in the data science field.

When can I start — what are the intake months?

The Ph.D. in Data Science at Rowan University has two intake months: March and September. Applicants should prepare their materials ahead of these dates to ensure a smooth admission process.
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