Certificate in Big Data Essentials

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Certificate in Big Data Essentials (12 Credits)

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 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 four courses of three credits each, (two core courses two electives), typically taught over two semesters of 15 weeks each. Instruction includes formal lectures as well as hands-on projects involving big data sets 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: Two courses per semester (6 credits) over two semesters, available in fall, spring, and summer.

Required Courses

DS 644	Big Data
DS 636	Data Analytics with R Programming

CS 631	Database Management System Design
CS 634	Data Mining
CS 670	Artificial Intelligence
DS 675	Machine Learning
DS 677	Deep Learning
IS 601	Web Systems Development
Math 661	Applied Statistics

To be eligible for admission to the certificate program,
a candidate must hold an undergraduate degree with a
minimum GPA of 2.6 on a 4.0 scale.

Design your company’s big data management infrastructure to facilitate corporate decision-making.
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.
Perform ad-hoc analyses of data stored in the company databases and write SQL scripts, stored procedures, functions and views.

Jersey City Cohort Students (non-F1 visa): Tuition, University Fee, and GSA Fee per consecutive semester, regardless of residency, assuming two Jersey City courses (6 credits) at 2024-2025 rates

Fall 2024: $7,440
Spring 2025: $7,440
Summer 2025: $6,091

Certificates: Total Tuition, University Fee, and GSA Fee Costs, assuming two Jersey City courses (6 credits) over five consecutive semesters at 2024-2025 rates

Fall Start: $14,880
Spring Start: $13,531
Summer Start: $13,531

Credit Transfer to M.S. in Data Science

Credits earned in the certificate may be applied to a M.S. in Data Science

Ying Wu College of Computing
Quinn Hardrick
Student Outreach Manager
973-642-7037
quinn.hardrick@njit.edu

University Admissions
Yaslie Pared
Enrollment Services Manager
973-596-6292
yaslie.pared@njit.edu

Interested in learning more about the admissions process, our academic programs, or visiting the Jersey City location? Visit our FAQ page or contact jerseycity@njit.edu today!