njit data science

Last Updated on July 30, 2023

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Institute for Data Science Unveils 2020-2021 Talks, Many to Discuss COVID-19

njit data science ranking

M.S. in Data Science - Statistics Track | Department of Mathematical  Sciences

njit data science course

Students in the Master of Science in Data Science (MSDS) program must successfully complete 30 credits based on any of the following options:

  • Courses (30 credits)
  • Courses (27 credits) + MS Project (3 credits)
  • Courses (24 credits) + MS Thesis (6 credits)

Independent of the chosen option, all core courses in the respective tracks are required.

At most two courses can be chosen from outside the respective track with approval of the respective Program Co-Directors. Computational track students are allowed at most three electives that are non-Computer Science courses. Statistics track students are allowed at most three electives that are non-Math courses. 


If a student chooses the MS project or MS thesis option, the project or thesis must be related to data science and requires approval from one of the Program Co-Directors.

The MSDS program has computational and statistics tracks that students must choose from at admission time. These tracks have different core courses but share the same admission requirements and electives.

Students may choose an elective outside the list after approval of their respective advisor.

M.S. in Data Science

CodeTitleCredits
Core Course Requirements for Computational Track
CS 675Machine Learning3
CS 644Introduction to Big Data3
CS 636Data Analytics with R Program3
CS 677Deep Learning (Deep Learning)3
MATH 661Applied Statistics3
CodeTitleCredits
Electives and Foundation Courses15
Computer Science Electives
CS 610Data Structures and Algorithms3
CS 631Data Management System Design3
CS 632Advanced Database System Design3
CS 634Data Mining3
CS 636Data Analytics with R Program (only available to students in the Math core)3
CS 639Elec. Medical Records: Med Terminologies and Comp. Imp.3
CS 643Cloud Computing3
CS 645Security and Privacy in Computer Systems3
CS 656Internet and Higher-Layer Protocols3
CS 659Image Processing and Analysis3
CS 661Systems Simulation3
CS 670Artificial Intelligence3
CS 676Cognitive Computing3
CS 677Deep Learning (Deep Learning(available only to students in statistics track))3
CS 683Software Project Management3
CS 684Software Testing and Quality Assurance3
CS 681Computer Vision3
CS 708Advanced Data Security and Privacy3
CS 731Applications of Database Systems3
CS 732Advanced Machine Learning3
CS 735High Performance Analytics Dat3
CS 744Data Mining and Management in Bioinformatics3
CS 782Pattern Recognition and Applications3
YWCC 691Graduate Capstone Project (Counting towards the elective credits requires the program director’s prior approval. In addition, it needs to be completed with an external partner (industry, lab, or government), or with a faculty only if the same faculty is not the student’s MS project or MS thesis advisor.)3
Math Electives
MATH 630Linear Algebra and Applications3
MATH 631Linear Algebra3
MATH 644Regression Analysis Methods3
MATH 660Introduction to statistical Computing with SAS and R (only available to students in computational track)3
MATH 662Probability Distributions3
MATH 664Methods for Statistical Consulting3
MATH 665Statistical Inference3
MATH 678Stat Methods in Data Science3
CS 680Linux Kernel Programming3
CS 683Software Project Management3
MATH 699Design and Analysis of Experiments3
MATH 717Inverse Problems and Global Optimization3
MATH 786Large Sample Theory and Inference3
MATH 787Non-Parametric Statistics3
Other Electives
BIOL 638Computational Ecology3
BME 698Selected Topics3
MGMT 635Data Mining and Analysis3
MGMT 630Decision Analysis3
FIN 600Corporate Finance I3
FIN 641Derivatives Markets3
FIN 642Derivatives and Structured Finance3
MRKT 630Models Of Consumer Behavior3
IS 601Web Systems Development3
IS 631Enterprise Database Management3
IS 650Data Visualization and Interpretation3
IS 657Spatiotemporal Urban Analytics3
IS 665Data Analytics for Info System3
IS 687Transaction Mining and Fraud Detection3
IS 688Web Mining3
BNFO 601Foundations of Bioinformatics I3
BNFO 602Foundations of Bioinformatics II3
BNFO 615Data Analysis in Bioinformatics3
BNFO 620Genomic Data Analysis3
Total Credits30

Recommended course sequence M.S. in Data Science for Computational Track

 FallSpring
Year 1CS 675 Machine LearningCS 631 Data Management and System Design
MATH 661 Applied StatisticsCS 644 Big Data
CS 636 R for Data ScienceCS 677 Deep Learning
Year 2Free elective or Master thesis courseFree elective or Masters thesis course
Free elective or Master project course
Free elective
NJIT Launches New Career-Prep Bootcamps in UI/UX Design, Full-Stack  Development and Data Science

njit m s data science fees

For each academic year, the standard cost of attendance as defined by the Student Financial Aid Services (SFAS) depends on your program, year in school, residency and housing selection.Tuition & Aid

Undergraduate Cost of Attendance for 2021 – 2022 (two semesters at full-time)

 New Jersey ResidentsNon-New Jersey Residents
Tuition$14,790$30,808
Fees$3,226$3,226
Total Tuition and Fees $18,016$34,034

* For New Jersey resident and Non-New Jersey resident students living on campus, the value for Room & Board is $14,200 and Additional Indirect Cost is $4,100.

* For New Jersey resident and Non-New Jersey resident students living off campus, the value for Room & Board is $12,700 and Additional Indirect Cost is $6,300.

* The value for Books & Supplies is $3,000 (first-time freshmen and transfer non-architecture. $5,400 first-time freshmen and transfer architecture).

Graduate Cost of Attendance for 2021 – 2022 (two semesters at full-time)

 New Jersey ResidentsNon-New Jersey Residents
Tuition$21,342$31,556
Fees$3,204$3,204
Total Per Year$24,546$34,760

* For New Jersey resident and Non-New Jersey resident students living on campus, the value for Room & Board is $14,200 and Additional Indirect Cost is $4,100.

* For New Jersey resident and Non-New Jersey resident students living off campus, the value for Room & Board is $12,700 and Additional Indirect Cost is $6,300.

* The value for Books & Supplies is $1,500 (non-architecture. $1,700 architecture).

Graduate e-Tuition (100% online)

  • Cost per credit – $1,082
NJIT to Establish New Institute for Data Science

Njit Data Science

The Department of Data Science is the newest addition to the Ying Wu College of Computing. It was founded by well established, prominent researchers and educators with outstanding track records in Artificial Intelligence, Machine Learning, High Performance Data Analytics, Security/Privacy/Ethics in Data Science, Health Data Science, Green Data Science, and Data Visualization. The Department of Data Science was founded in 2021. The M.S. degree program in Data Science is jointly administered by the Department of Data Science and the Department of Mathematical Sciences. This degree program responds to a strong demand from employers for trained Data Scientists. Data is revolutionizing most industries and M.S. graduates in Data Science command high starting salaries.

Data Science combines powerful methods from Computer Science, Statistics, Artificial Intelligence and Machine Learning into a unique new blend of techniques for deriving valuable insights from Big Data. Data Science is an ideal choice for students who are interested in applying data processing methods to ever larger and more varied real-world data sets, including image, video, natural language and speech data that go substantially beyond traditional text and table data to solve real-world problems. The Department of Data Science closely collaborates with the Department of Mathematical Sciences and the Department of Computer Science. Students also can get involved in state-of-the-art research projects at the NJIT Institute for Data Science, where top notch scientists work with users to develop data-driven technologies to innovate the way the world works and lives.

Master of Science in Data Science

The Master of Science (M.S.) in Data Science (DS) is intended for students who are interested in pursuing advanced studies in data science.

Admission Requirements

  • GPA
    • Undergraduate GPA of at least 3.0 out of 4.0 is required for students with a data science, applied statistics, or computer science background.
    • Undergraduate GPA of at least 3.0 out of 4.0 is required for students without a data science, applied statistics, or computer science background. Students wishing to pursue the computing track who have an insufficient computing background will be asked to enroll in a relevant Certificate Program and obtain a GPA of at least 3.0 before being admitted to the M.S. program.  Students wishing to pursue the statistics track with an insufficient mathematics/statistics background will be asked to successfully complete suitable bridge courses as per the advisor’s review.
       
    • Foreign students without GPA must have graduated “first class,” corresponding to a B average.
  • International students TOEFL score: the Institute requires a minimum score of 213 paper based or 79 online.
  • International students: GRE required.
  • Students with a US or Canadian degree in data science, computer science, mathematical sciences, or engineering: GRE recommended but not required.
  • Students with a US or Canadian degree not in data science, computer science, mathematical sciences, or engineering: GRE required.

Students are expected to have good programming skills and a grasp of the fundamentals of computer science, data science, and the mathematical sciences (students should have acquired this knowledge in the undergraduate degree Bachelor of Science in Data Science, Applied Statistics, or Computer Science or an equivalent degree). Detailed topics are listed below.

Applicants to the computing concentration lacking the computing background should first enroll in one of the three associated Data Science Certificates (Data Mining, Data Visualization, Big Data), and, upon successful completion of the Certificate, apply for transfer into the M.S. in DS program – computing concentration.  Applicants to the statistics concentration with insufficient background in mathematics/statistics will be asked to complete suitable bridge courses as per the advisor’s review.
Students must maintain a cumulative graduate GPA of 3.0 or better throughout the course of studies and for graduation.

Application Processing

The Departments of Data Science and Mathematical Sciences review only completed applications submitted to the Office of Graduate Admissions. Applicants are advised to request status information on their application directly from the Graduate Admissions Office, not the Departments of Data Science or Mathematical Sciences. Graduate Admissions can be reached at [email protected] or www.njit.edu/gadmission or by mail at

NJIT, Graduate Admissions Office, University Heights, Newark NJ 07102.

Detailed Topics:

Students entering the M.S. in DS program are expected to have mastered the following topics:  Basic programming constructs, writing and debugging programs, iteration, recursion; basic data structures (lists, arrays, hash tables), search and sort, algorithm analysis; basic probability distributions and statistical analysis; linear algebra,  calculus (derivatives, integrals, applications, functions of multiple variables).

njit data science online

Online M.S. in Data Science: We live in a data driven world. Get in the driver’s seat.

In today’s AI-driven economy, there is a strong demand for data scientists equipped with computational skills to develop, design and apply models and tools for data-driven decision making. This program provides students a strong understanding of basic and advanced methods in statistical inference, machine learning, data visualization, data mining, and big data, all of which are essential skills for a high-performing data scientist.

NJIT Makes Success Stories. Begin Yours Now.APPLY NOWREQUEST INFO

$75,800

Starting Salary, NJIT Average

$113,000

Mid-Career Salary, National Average

NJIT is the first university in New Jersey to offer an independent, standalone Master’s degree in Data Science.

Discover the Foundations of Data Science at NJIT

The M.S. in Data Science covers basic and advanced methods in statistical inference, machine learning, data visualization, data mining, and big data, all of which are essential skills for a high-performing data scientist. To be admitted to the program, we require a basic background in Mathematics (calculus, linear algebra), Statistics (probability and basic stats) and Software Development (programming, data structures and algorithms). Courses consist of formal lectures as well as hands-on programming projects. The program curriculum uses the Python programming language with its data science libraries and features tools like R for statistical analysis and Tableau for data visualization. 

Students work on homework assignments and projects covering both theory and applications on real data with guidance from the professor and teaching assistants.

MS in Data Science graduates will enter the workplace with the education and training to: 

  • 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.
30Credits
$1082cost per credit*
Financial Aid Options Available
*View tuition and fee information or contact an Enrollment Services Manager for more information.

Where do Data Science (Computing Option) majors work?

Common Job Titles

  • Data Scientist
  • Machine Learning Engineer
  • Quantitative Analyst
  • Data Warehouse Architect
  • Business Intelligence Analyst

Top Employers

  • Hearst
  • ADP
  • EY
  • Google
  • Cisco

Housed in the Department of Computer Science and offered in collaboration with the Department of Mathematical Sciences, the interdisciplinary Data Science program offers you the choice of a Computational or a Statistics track, while equipping you with the fundamentals and application tools to solve data science problems.

$101,000

Mid-Career Salary, National Average

NJIT is the first university in New Jersey to offer an independent, standalone Master’s degree in Data Science.

In addition to our main campus, students can also pursue an M.S. in Data Science at NJIT@JerseyCity

What do Data Science majors do?

Data Science specialists are expected to make informed architectural decisions based on a firm understanding of how available technologies differ and complement each other. As a Data Scientist, you will build and analyze predictive models from data using machine learning and statistical inference, program data science applications in high-level languages and extract patterns from large datasets using high-performance computing and distributed computing methods.

Degrees Offered

  • M.S. Data Science
  • M.S. Data Science (Online)

Where do Data Science majors work?

Common Job Titles

  • Data Scientist
  • Machine Learning Engineer
  • Quantitative Analyst
  • Data Warehouse Architect
  • Business Intelligence Analyst

Top Employers

  • Hearst
  • ADP
  • EY
  • Google
  • Cisco

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