Curriculum
Graduate Data Science
At A Glance | |
Degree Awarded: | Master of Science in Data Science (with Healthcare badge or AI badge option) |
Course Locations: | Jersey City Campus |
Program Duration: | 36 Credits: A full‐time student taking 24 credits/year should complete in 1.5 years. |
Calendar: | Graduate Trimester |
Course Format: | Classes meet in person Monday to Friday during the evening. Classes are also available in a fully online format. |
Master of Science in Data Science
The Master of Science in Data Science, a 36 credit degree program, is intended for students who have completed undergraduate degrees in science, mathematics, computer science or engineering and are interested in pursuing careers in industry-specific analytical fields (e.g. technology, pharmaceutical, research, government, public health, entrepreneurship, finance, business, etc.).
The Data Science degree program uses real-world problems and situations to prepare graduates for roles as strategic thought leaders who leverage predictive modeling to drive decision making. Students will develop in depth understanding of the key technologies in data science and business analytics: data mining, machine learning, visualization techniques, predictive modeling, and statistics. Students will practice problem analysis and decision-making. Students will gain practical, hands-on experience with statistics programming languages and big data tools through coursework and applied research experiences.
Degree Requirements
The degree requires 36 semester hour credits. A capstone course is required and will be taken the final semester of coursework.
Graduate Internship
As of January 1, 2016, completion of an internship related to Data Science is required for all students except: those who have 3+ years of professional work experience; those with full-time employment during the length of the program; and those who are participating in the exchange program. The graduate internship can start in the first semester of classes. Please consult your program advisor to determine if it is possible to obtain a waiver.
Curriculum – Master of Science in Data Science
Master’s in Data Science
Required Core Courses | Course Name | Pre-reqs | Credits |
DS-510
|
Introduction to Data Science | None | 3 |
DS-520
|
Data Analysis and Decision Modeling | None | 3 |
DS-530
|
Big Data and Data Mangement | None | 3 |
DS-542
|
Python in Data Science | DS-510, DS-520 | 3 |
DS-600
|
Data Mining | DS-510, DS-520 | 3 |
DS-620
|
Data Visalization | DS-510, DS-520 | 3 |
DS-630
|
Machine Learning | DS-510, DS-520, DS 530, DS 542 | 3 |
DS-650
|
Data Law, Ethics & Bus Intel | DS-510, DS-520 | 3 |
DS-670
|
Capstone: Big Data and Business Analytics | DS-620, DS-630 | 3 |
27
|
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Electives – Take 3 of the following | Course Name | Pre-reqs | Credits |
DS-540
|
Statistical Programming | ||
DS-600
|
Data Mining | DS-510, DS-520 | |
DS-605
|
Financial Computing and Analytics | DS-510, DS-520 | |
DS-610
|
Big Data Analtics | DS-510, DS-520, DS-530 | |
DS-621
|
Data Analytics with PowerBI | DS-510, DS-520 | |
DS-640
|
Predictive Anal & Financ Model | DS-510, DS-520 | |
DS-680
|
Mrktg Analytic & Oper Research | DS-510, DS-520 | |
DS-690
|
Data Science and Health | DS-510, DS-520 | |
9
|
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Total Credits |
36
|
Master’s in Data Science w/ Artificial Intelligence Track
Courses | Course Name | Pre-reqs | Credits |
DS-620 | Data Visualization | DS-510, DS-520 | 3 |
DS-640 | Predictive Analytics & Financial Modeling | DS-510, DS-520 | 3 |
DS-687 | Artificial Intelligence Fundamentals | DS-510, DS-520 | 3 |
DS-688 | Natural Language Processing | DS-510, DS-520, DS 530, DS 542 | 3 |
12 |
Master`s in Data Science w/Healthcare Track
Courses | Course Name | Pre-reqs | Credits |
HL-520 | Legal & Ethical Issues in Healthcare | 3 | |
DS-690 | Data Science and Health | DS-510, DS-520 | 3 |
HL-530 | Cultural Diversity & Disparities in Healthcare | DS-510, DS-520 | 3 |
DS-691 | Healthcare CAHIMS Certification Prep Course | DS-510, DS-520 | 3 |
12 |