Academic Programs

In today’s data-driven economy, there is a strong demand for technical skills in the field which is loosely called “Data Science”. Research done by Glassdoor, a leading recruiting company, finds that “Data Scientist” is the Best Job in America for 2019, and the average salary of a data scientist is $120,000. 
 
In practice, not all technical professionals working with data are doing the same job, and there is a need for a variety of different skills. NJIT@JerseyCity offers part-time graduate-level educational programs, both credit-bearing and non-credit training, distinguishing between three types of data professionals. The distinction is based on the technical depth of the job and the background required. 
 
According to The Princeton Review, NJIT is one of the nation’s best colleges for students seeking a superb education with great career preparation and at an affordable price. 

For more information, contact Tim Hart, ph: (973) 596-2911, (862) 234-5706, hart@njit.edu, or visit jerseycity.njit.edu

To visit a class at Jersey City, contact Serena Branson at branson@njit.edu

Academic Programs

M.S. in Data Science (Data Sheet)
Certificate in Big Data Essentials (Data Sheet)
Certificate in Data Mining (Data Sheet)
Certificate in Data Visualization (Data Sheet)
Certificate in Business Analytics (Data Sheet)

M.S. in Data Science (30 credits)

• Calculus: Derivatives, integrals, applications
• Linear Algebra: Vector spaces, dot products, Euclidean norm, matrices
• Probability and Statistics: Random variables, probability distributions, basic statistics
• Programming: Basic programming constructs, writing and debugging programs, iteration, recursion, arrays, lists
• Data Structures and Algorithms: Basic data structures, search and sort, algorithm analysis

Applicants lacking this background may take the Refresher Accelerator to acquire it.

A GRE score is not required.

Program Outcomes:

• Be able to acquire, clean, and manage massive data sets.
• Play an analytical role in your company where you design, implement, and evaluate advanced statistical models and approaches for application to your company’s most complex problems.
• Be able to provide econometric and statistical models for a variety of problems including projections, classification, clustering, pattern analysis, sampling and simulations.
• Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings.
• Apply modern artificial intelligence and deep learning methods to complex prediction and recognition tasks.

Cost for NJ residents (2019-20 rates): $1,122 tuition + $189 fees per credit. Total: $39,330 for degree. Up to 20% merit-based scholarship available.

Possible course sequence for students starting in Spring 2020: Spring 2020: CS 636, CS 675; Summer 2020: CS 644; Fall 2020: CS 677, CS 732.

For more information: Contact Tim Hart, ph: (973) 596-2911, (862) 234-5706, hart@njit.edu, or visit jerseycity.njit.edu

Data Sheet

Certificate in Big Data Essentials (12 credits)

Training Data Engineers

This certificate program provides essential skills for data engineers to design their data infrastructure and apply relevant tools and techniques on their data assets. This includes techniques for data modeling, data integration, efficient manipulation of big data and efficient data pipeline processing. The curriculum focuses on the technologies behind managing vast amounts of data, writing complex queries on the data and optimizing the performance of database/storage systems to reduce operational costs. Participants will learn how to store, access and analyze Big Data, and how to efficiently extract information from that data to make important financial, business and social decisions.

The program consists of 4 courses of 3 credits each, taught over 2 semesters of 15 weeks each. Instruction includes formal lectures as well as hands-on projects involving big datasets and data pipeline processing. In this program, we make extensive use of software tools such as SQL, MongoDB, Hadoop, Hive, Pig and UML. Students work on assignments and projects covering both theory and applications on real data with guidance from the professor and teaching assistants.

Recommended part-time credit schedule: First semester: 6, Second semester: 6. Total: 12 credits over two semesters (incl. summer).

Core (required) courses:

Sample electives:

 Credit earned in a Certificate program can be used later towards the MS in Data Science degree.

Program Outcomes:

• Design the infrastructure for managing Big Data in your company in a way that the company needs it to make decisions based on that data.
• Be able to work with the company’s software engineers, data analytics teams, data scientists, and data warehouse engineers to aid in the implementation of database requirements, analyze performance, and troubleshoot issues.
• Play an analytical role in performing ad-hoc analyses of data stored in the company databases and write SQL scripts, stored procedures, functions, and views.

Cost for NJ residents (2019-20 rates): $1,122 tuition + $189 fees per credit. Total: $15,732 for certificate. Up to 20% merit-based scholarship available.

Possible course sequence for students starting in Spring 2020: Spring 2020: CS 636, CS 675; Summer 2020: Math 661, CS 644.

For more information:Contact Tim Hart, ph: (973) 596-2911, (862) 234-5706, hart@njit.edu, or visit jerseycity.njit.edu

Data Sheet

Certificate in Data Mining (12 credits)

Training Data Analysts

This certificate program provides essential skills for data analysts working to extract actionable intelligence from their data resources. Topics covered include principles of information-retrieval system design and management, and basic techniques for data analysis.Many companies collect significant amounts of data about their customers and their interactions, but must “mine” through data silos to discover crucial insights and knowledge. This certificate provides an introduction to data mining with an emphasis on large-scale databases as a source of knowledge generation and competitive advantage.

The program consists of 4 courses of 3 credits each, taught over 2 semesters of 15 weeks each. Instruction includes formal lectures as well as hands-on projects involving database management, mining methods and basic analytic techniques to extract, report and visualize information from the data. In this program, we make extensive use of software tools such as SQL, Hive, Pig, SAP/Oracle Warehouse and Power BI/Tableau. Students work on assignments and projects covering both theory and applications on real data with guidance from the professor and teaching assistants.

Recommended part-time credit schedule: First semester: 6, Second semester: 6. Total: 12 credits over two semesters (incl. summer).

Core (required) courses:

Sample electives:

 Credit earned in a Certificate program can be used later towards the MS in Data Science degree.

Program Outcomes:

• Be an analytics specialist in your company, focusing on the management of data from various sources and providing data-driven insights to relevant departments.
• Visualize data for exploration, analysis, and communication.
• Be able to provide departments with reproducible data analysis, reporting, and dashboard solutions that will enable the achievement of the company’s overall goals.

Cost for NJ residents (2019-20 rates): $1,122 tuition + $189 fees per credit. Total: $15,732 for the certificate. Up to 20% merit-based scholarship available.

Possible course sequence for students starting in Spring 2020: Spring 2020: IS 601, IS 665; Summer 2020: CS 634, IS 687.

For more information: Contact Tim Hart, ph: (973) 596-2911, (862) 234-5706, hart@njit.edu, or visit jerseycity.njit.edu

Data Sheet

Certificate in Data Visualization (12 credits)

Training Data Analysts and Business Intelligence Professionals

This certificate program will enable data analysts and business intelligence professionals to master the principles of visualization techniques for communicating insights from complex real-world data. These techniques will cover the gamut of the data science pipeline: transforming different types of data (e.g., spatial, temporal, abstract); conceptualizing diverse comparison, analysis, and communication tasks; learning perceptual and cognitive principles of data visualization; and implementing high-dimensional data visualization design strategies.

The curriculum focuses on both the theory and technologies behind visualizing complex data, designing interactive visual interfaces and optimizing the visual displays for focusing human attention on salient patterns in the data. Participants will learn how to transform large, complex data sets to interpretable visualizations, and how to best reflect the analytical tasks for facilitating experts’ decision-making. The program consists of 4 courses of 3 credits each, taught over 2 semesters of 15 weeks each. Instruction includes formal lectures as well as hands-on projects involving visualization design and development.

In this program, we make extensive use of software tools like Tableau, and tools and libraries based on Python, R, and JavaScript. Students work on assignments and projects covering both theory and applications on real data with guidance from the professor and teaching assistants.

Recommended part-time credit schedule: First semester: 6, Second semester: 6. Total: 12 credits over two semesters.

Core (required) courses:

 Sample electives:

Credit earned in this Certificate program can be used later towards the MS in Data Science degree.

Program Outcomes:

• Acquire design skills for ideating, conceptualizing, and developing visualization solutions.
• Develop visualizations for supporting data science projects end-to-end, including task and requirements elicitation, identifying business stakeholders and their interactions with the visualization and optimizing the resulting visual interfaces for reflecting their goals and desired actions.
• Learn to visually communicate and engage the audience to build trust in the data and resulting insights.

Cost for NJ residents (2019-20 rates): $1,122 tuition + $189 fees per credit. Total: $15,732 for certificate. Up to 20% merit-based scholarship available.

Possible course sequence for students starting in Spring 2020 (required courses in red): Spring 2020: IS 650, IS 665. Fall 2020: IS 657, CS 634.

For more information, contact Tim Hart, ph: (973) 596-2911, (862) 234-5706, hart@njit.edu, or visit njit.edu/JerseyCity

Data Sheet

Certificate in Business Analytics (12 credits)

Training Business Data Science Analysts

Responding to the rapid growth in demand (and complexity of the business world) for analytics professionals, the Certificate in Business Analytics is designed to equip business professionals with the quantitative and technical skills required for robust careers in the data-driven world of business. The Certificate offers a set of four graduate courses to strengthen data analytics knowledge and skills, including gaining a grasp on how analytics informs business decisions and data-centric tasks.

Upon completion of this certificate, graduates will be able to lead data analytics projects and studies as well as build supporting data-driven decision models. The program provides a rational balance between the quantitative and management skills business professionals will need to progress in their careers.

The Certificate in Business Analytics requires four graduate courses (a total of 12 credits), consisting of two core courses and two other courses selected from a list of six electives. 

The program is recommended for part-time students who wish to earn their certificates by attending a combination of face-to-face and online courses. Students will work on assignments including class projects and case studies, as well as application programming using SQL, Python and R, working with real data under the professor’s supervision.

Recommended part-time credit schedule: First semester: 6, Second semester: 6. Total: 12 credits over two semesters (incl. summer).

Core (required) courses:

Sample electives:

Credit earned in this Certificate program can be used later towards the MBA degree.

Program Outcomes:

• Acquire skills needed for careers in areas such as: business analytics, managers of data centric firms, data analytics managers, and data analytics consultant.

Cost for NJ residents (2019-20 rates): $1,122 tuition + $189 fees per credit. Total: $15,732 for certificate. Up to 20% merit-based scholarship available.

Possible course sequence for students starting in Spring 2020 (required courses in red):

Spring 2020: MIS645, MIS648, Summer 2020: Math661, CS635.

For more information, contact Tim Hart, ph: (973) 596-2911, (862) 234-5706, hart@njit.edu, or visit jerseycity.njit.edu

**Certificate in Business Analytics Program pending State approval​**

Data Sheet