Home / Analytics: Discovery Informatics & Data Sciences Curriculum

Analytics: Discovery Informatics & Data Sciences Curriculum

Note: Applicants interested in this concentration will apply to our general Analytics track in the graduate admissions portal. Once admitted, students will use the suggested pathways below to customize their course plans in accordance to their educational/professional background and aspiring career goals.

Analytics Pathways

To assist students coming in with experiences in science or business areas, we have created pathways within the Analytics concentration to build on the student’s existing skills. All Analytics students must take the core business and science (analytics) courses, but within each pathway, students have required electives to assist in their professionally guided curriculum. Your advisor will work with you to come up with your professionally guided curriculum based on your experience, professional background, and career goals.

For students with a background in Engineering, Analytics, Computer Science, Mathematics, Statistics, and related areas, the student is guided towards our traditional Technical Analytics track or AI & Analytics track.

For students with a background in health/healthcare-related areas (undergrad degree in Biology, Pharmacy, Psychology, Pharmaceutical Sciences, and related areas), students are guided to our Health Informatics pathway.

For students with Finance related areas (undergrad degree in Finance, Business, Economics, Accounting, Business Intelligence, or related areas), students are guided to our Finance Analytics pathway.

For students with general business or management backgrounds, or with an interest in visualization, students are guided to our Business Intelligence & Analytics pathway. 

Business Core Courses - 5 courses (13 credits):

 16:137:530 Principles of Finance and Accounting (3cr); 16:137:507 Market Assessment & Analysis (3cr); 16:137:502 Principles of Communication & Leadership (3cr); 16:137:500 Ethics (1cr);

16:137:600 Science & Technology Management Capstone (3cr): Prerequisite Courses: 16:137:50216:137:50716:137:530

Analytics Core Courses - 5 courses (15 credits):

16:137:550 Fundamentals of Analytics (3cr);  16:137:538, OR 17:610:557 Database and Data Warehousing (3cr); 16:137:539 Intro to Cloud Computing & Big Data (3cr); 16:137:602 Regression Analysis (3cr); 16:137:551 Advanced Analytics & Practicum (3cr)

 

Health Informatics Pathway

Admissions Requirements: A Degree and/or work experience in healthcare, pharmaceutical sciences, psychology, and related areas. A year of calculus is required (Calc 1 and Calc 2). For those that did not take Calc 2, statistics can be substituted:  Calc 1 and  Stats 1 and 2 OR Calc 1 and  BioStats 1 and 2 OR Calc 1 and Stats and Regression (separate) courses. 

Business Electives
(2 courses = 6 credits)

- 16:137:553 Bus. Intelligence Visual Analytics (3cr)*
- Project Management*

Analytics Electives
(3 courses = 9 credits)

- 16:137:552 Python Methodologies (3cr)
- 16:960:586 Interpretation of Data (3cr)
- 1 Elective

Finance Analytics Pathway

Admissions Requirements: For those with a business, finance, economics, business intelligence, or accounting degree. A year of calculus is required (Calc 1 and Calc 2). For those that did not take Calc 2, statistics can be substituted. Calc 1 and  Stats 1 and 2 OR Calc 1 and economic modeling and Econometrics.

Business Electives
(2 courses = 6 credits)

- 16:137:553 Bus. Intelligence Visual Analytics (3cr)*
- 22:390:670 (or equivalent) Risk Management (3cr)

Analytics Electives
(3 courses = 9 credits)

- 16:137:552 Python Methodologies (3cr)
- 56:137:501 Data Str. & Algorithms/ Problem Solving in Python (3cr)
- 1 Elective (See elective list here), Recommended: 16:137:653/654/655 Externship 

Technical Analytics Pathway

Admissions Requirements: For those interested in analytics, typically with an engineering, stats, statistics, mathematics, operations research, or related degree. Must have taken Calc 1 & 2.

Business Electives
(2 courses = 6 credits)

- 16:137:553 Bus. Intelligence Visual Analytics (3cr)*
- 1 Elective (See elective list here)

Analytics Electives
(3 courses = 9 credits)

- 16:137:562 Applied AI from Concept to Market (3cr)

- 56:198:562 Big Data Algorithms (3cr) (To take in place of Intro to Cloud Computing (16:137:539)

- 2 Electives

Business Intelligence & Analytics

Admissions Requirements: For those with a business, finance, economics, business intelligence, human resources, accounting, or related degree. A year of calculus is required (Calc 1 and Calc 2). For those that have taken Calc 1 or Business Calc 1 but did not take Calc 2 and are interested in this pathway, we accept a combination of either: Calc 1 and Stats 1 and 2, OR Calc 1 and economic modeling and Econometrics, OR Calc 1 and two upper levels of business modeling/quantitative courses. We accept the GRE or GMAT for those interested in this pathway (and waive testing requirement a Rutgers undergrad or grad degree, a US masters, MBA, or PhD, OR 5+ years work experience AND a US bachelors degree).

Business Electives

Analytics Electives

AI & Analytics

Admissions Requirements: For those interested in analytics, and have an engineering, computer science, stats, math, operations research, or related degree. Must have taken Calc 1 & 2.

Business Electives

Analytics Electives

  • 16:137:552 Python Methodologies (3cr)
  • 56:137:501 Data Str. & Algorithms/ Problem Solving in Python (3cr)
  • 16:198:520 Introduction to Artificial Intelligence (3cr)
  • 56:198:562 Big Data Algorithms (3cr) (To take in place of 16:137:539 Intro to Cloud Computing (3cr))
Data Science & Security Intelligence

Admissions Requirements: For those interested in analytics, typically with an IT, computer science, management of information systems, engineering, statistics, mathematics, operations research, or related degree. Must have taken Calc 1 & 2, or calc 1 & two upper level statistics course, calc 1 & two upper level programming courses. Courses or professional experience in criminology, criminal justice, security, cybersecurity, security intelligence, or related are recommended. 

Business Electives
(2 courses = 6 credits)

  • 16:790:583 Public Health Infrastructure and National Security (3cr)
  • 22:390:670 (or equivalent) Risk Management (3cr)
  • 16:790:575 Global Politics of Internet Security (3cr)
  • 16:790:558 Politics of Cyber Warfare (3cr)

Analytics Electives
(3 courses = 9 credits)

  • 16:137:561 Essentials of Cybersecurity and Secure Systems (3cr);
  • 26:198:645 Data Privacy (3cr)
  • 17:610:582 Information Policy (3cr)
  • 26:198:643 Information Security (3cr)
  • 17:610:567 Information Security Management (3cr)
  • 16:790:xxx Cyber Security and Artificial Intelligence  (3cr) (Special Topics in Political Science if and when taught)
  • 16:540:594 Risk Analysis and Mitigation (3)
  • 16:540:505 Engineering Decision Making under Uncertainty (3)
Analytics & Supply Chain

Admissions Requirements: For those interested in analytics, typically with an engineering, supply chain, business, statistics, mathematics, operations research, or related degree. Must have taken Calc 1 & 2, or calc 1 & two upper level economics modeling courses, or calc 1 & two upper level statistics courses, or calc 1 & two upper level financial forecasting courses.

Business Electives

Analytics Electives

  • 16:540:594 Risk Analysis and Mitigation (3)
  • 34:970:591 Introduction to Geographic Information Systems for Planning and Policy (3) 
  • 16:540:594 Risk Analysis and Mitigation (3)
  • 16:540:505 Engineering Decision Making under Uncertainty (3)

 

Analytics: Design Thinking & Analytics

Admissions Requirements: For those interested in analytics, and have a degree in business, marketing, advertising, engineering, computer science, stats, math, operations research, or related degree. Must have taken Calc 1 & 2, or calc 1 & two upper level economics modeling courses, or calc 1 & two upper level statistics courses, or calc 1 & two upper level financial forecasting courses.

Business Electives

 

Analytics Electives

*16:137:553 Business Intelligence with Visual Analytics (3cr) is REQUIRED for all Analytics students and counts as a business elective.

*22:799:691 Project Management (3cr) OR 16:137:601 Project Management for Sci/Tech (3cr) can be taken.

16:137:552 Python Methodologies (3cr) is required in the first semester for any students who have never taken a programming course for academic credit.

01:960:484 Basic Statistics or 01:960:401 Basic Statistics for Research is required in the first semester for any students who have never taken an undergrad or higher-level statistics, biostatistics, or business statistics for academic credit.


Colloquium 

In addition to the 43 credits required in science and business, students must attend 12 colloquium events to qualify for graduation. Click here to learn more about colloquium events.


If you have questions about program curriculum, please contact the concentration coordinator(s) or request an appointment with an advisor.