Becoming Connecticut State Community College
STUDENTS: The Community Colleges are undergoing a merger with a plan to become Connecticut State Community College in fall 2023; please work closely with your advisor/program coordinator to select your courses accordingly. Click here for more details about this merger.
Business intelligence (BI) is all about a process to translate data into information and thereby delivering actionable information that helps organizations make informed business decisions. It is highly inter-disciplinary, and students learn how to dynamically apply technology. It is visual and it is strategic. It is about leveraging opportunities with the goal of driving better outcomes, increase revenue, improve operational efficiency and gain competitive advantages. At Northwestern, we are pleased to offer CT State’s newly approved Business Intelligence (BI) Degree. Please review the degree requirements and plan of study and feel free to contact your advisors below for more information and to enroll in a program or a course.
Guided Pathway Advisor: Alayna M. Scarangelo, AScarangelo@nwcc.commnet.edu
Faculty Advisor: John (Lalit) Jagtiani, PMP, MBA, PhD., ljagtiani@nwcc.edu, www.johnjagtiani.com
Please tune into Professor Jagtiani’s videos below specially if they are considering enrolling in one of the programs or just taking a course or two in Computer Science, Computer Information Systems (CIS), Business Intelligence (BI) or Data Science (DS). The first video provides a quick overview of these programs. In the second video, Professor Jagtiani shares his thoughts on these important and relevant subjects in today’s times, how the field of computer science has expanded and become much more inter-disciplinary and why it is important to be in-the-know for everyone.
Business Intelligence (BI) Course of Study Outline
General Core Courses
English Composition
Statistics I
Principles of Macroeconomics
College & Career Success
Business Communications
Arts & Humanities Elective
Scientific Reasoning Elective
Program Requirements
Statistics II
Intro to Management Information Systems
Principles of Microeconomics
Principles of Management
Principles of Finance
Principles of Marketing
Database Development & Design
Programming in Data Science
Principles of Financial Accounting
Data Ethics & Security
Intro to Machine Learning
Capstone Research
Program Elective
Digital Marketing or Data Journalism
The list of courses provided above is for general information. Course offerings and timing can vary by semester.
Course numbers are in the midst of changing and therefore have not been referenced in the above list.
Students should reference the current course catalog and schedule of courses for more information on when certain courses are offered.
Visit the Computer Information Systems (CIS) A.S. (From Fall 2023) and Data Science Option A.S. for more information on those programs.
Students are encouraged to speak to their advisor to plan a specific course of study and select a program and a set of courses that best suits their interests.