Data Essentials

Certificate in Big Data Essentials

Emphasizes essential skills for data engineers to design their data infrastructure and apply relevant tools and techniques on their data assets. Software tools such as SQL, MongoDB, Hadoop, Hive, Pig and UML are used extensively in the program.
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Certificate in Big Data Essentials (12 Credits)

Info Sheet

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

CS 644 Big Data
CS 636 Data Analytics with R Programming

 

CS 631 Database Management System Design
CS 634 Data Mining
CS 670 Artificial Intelligence
CS 675 Machine Learning
CS 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.

 

Tuition, University Fee, and GSA Fee for ALL non-F1 students per consecutive semester, regardless of residency and visa status, assuming two courses (6 credits) at 2022-2023 rates:
 
  • Summer 2022: $5,942
  • Fall 2022: $6,900
  • Spring 2023: $6,900
 
Total Tuition, University Fee, and GSA Fee for degree, assuming two courses (6 credits) per consecutive semester at 2022-2023 rates:
 
  • Summer Start: $12,842
  • Fall Start: $13,800
  • Spring Start: $12,842
 

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

Program Contact:
Simran K Anand
Enrollment Services Manager
(973) 596-2798
simran.anand@njit.edu

Jersey City Tour Contact:
Julio Oyola
Associate Director of Operations for NJIT@JerseyCity
(973) 596-6323
julio.oyola@njit.edu