Master of Science in Business Intelligence & Analytics
Philadelphia, USA
DURATION
12 up to 24 Months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
USD 1,140 / per credit
STUDY FORMAT
Distance Learning, On-Campus
* rolling admission and enrollment
Scholarships
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Introduction
The Master of Science in Business Intelligence & Analytics program at Saint Joseph’s University prepares students to be leaders in their organizations who can leverage organizational knowledge and find success in their data. This focus prepares 21st-century professionals to drive organizational performance in all functional areas by using data to develop new opportunities, gain competitive advantage, identify effective strategies, and improve decision-making.
As a student in our program, you will work with real data and case studies to develop analytical skills that are immediately applicable and relevant across diverse industries, creating value for yourself and your organization.
Top-Ranked Program
Saint Joseph’s Business Intelligence and Analytics M.S. is a STEM-designated program that sets you apart from your peers as you develop the skills most sought by senior leadership in this data-driven business environment. Designed for students who are interested in using data to advance their organization's strategic priorities, as well as their own careers, this program has the added value of:
- Haub School of Business' AACSB accreditation
- Top 20 ranking by U.S. News & World Report
Our online graduate program has also been recognized in U.S. News' online education rankings as among the nation's best in 2021.
Online or On-Campus Courses
The Master of Science in Business Intelligence and Analytics is designed to meet the needs of working professionals in the field looking to advance their careers or change paths and recent graduates looking to get ahead in their careers. You can choose to take your courses fully online, enroll in on-campus classes at our campus in Philadelphia, Pennsylvania or do a combination of both formats.
Our evening classes are small and designed for professionals looking to create connections with their classmates and professors. Work at your own pace by choosing one, two, or three courses per term.
Gallery
Program Outcome
SAS-endorsed Master’s Degree
The SAS Institute has endorsed Saint Joseph's Business Intelligence and Analytics graduate program and presents those who complete the degree with a Business Intelligence Certificate, certified by SAS. This credential gives graduates a valuable competitive advantage in the professional arena, especially when proficiency in skills such as data mining, data warehousing, market intelligence, and online analytical processing is essential.
Career-Focused Concentrations
The graduate program also offers a unique and rigorous approach to business education. Students can choose to complete one of four career-focused tracks:
- Cyber Analytics
- Data Analytics
- Managerial
- Data Science
Curriculum
The MSBIA degree requires the completion of 30 credits with a cumulative GPA of 3.0 or better in courses taken at SJU. Prerequisites or co-requisites are required for courses listed below and are met through the scheduled course sequence.
- DSS 600 Found for Bus Intel & Analytics 3
- DSS 610 Business Analytics 3
Electives: 8 courses
- DSS 615 Python Programming
- DSS 620 Con & Pract of DSS Modeling
- DSS 630 Database Mgmt Theory & Pract
- DSS 640 Managing Data Intelligence
- DSS 650 Process Simulation & Analysis
- DSS 660 Introduction to Data Mining
- DSS 665 R Statistical Language
- DSS 670 Data Visual & Perf Analytics
- DSS 680 Predictive Analytics
- DSS 690 Special Topics Course
- DSS 710 Six Sigma Apps & Found
- DSS 720 Bus Analytics: Supply Chain Mgt
- DSS 730 Web Analytics
- DSS 740 Analytics w/ Machine Learning
- DSS 750 Fundamentals of Cyber Security
- DSS 760 CPS Framework
- DSS 790 Adv Topics: Cyber Analytics
Course Selection - Specialized Tracks
Four specialized tracks are offered to assist students in selecting their course options.
Cyber Analytics
The Cyber Analytics track is focused on the application of analytics to data in order to draw conclusions and detect patterns in cyber-data applications. It can be viewed as situated at the intersection of Big Data, Cyber Security, and Decision Management. Cyber analytics can be used to support computer security, computer or network administration, auditing, and many other application areas. This track provides students with exposure to analytics of cyber-physical systems, which are ubiquitous in business/industry contexts.
- DSS 600 Found for Bus Intel & Analytics 3
- DSS 610 Business Analytics 3
- DSS 615 Python Programming 3
- DSS 630 Database Mgmt Theory & Pract 3
- DSS 660 Introduction to Data Mining 3
- DSS 665 R Statistical Language 3
- DSS 740 Analytics w/ Machine Learning 3
- DSS 750 Fundamentals of Cyber Security 3
- DSS 760 CPS Framework 3
- DSS 790 Adv Topics: Cyber Analytics 3
Total Hours: 30
Data Analytics
The Data Analytics track is designed to prepare students to apply data analytics techniques to large data sets to support data-driven decisions across application domains. The courses are designed for learners with a quantitative background who want to advance their skills. Students will learn statistical and scientific methods for data analysis as preparation to make sound, evidence-based decisions that drive business performance in any function.
- DSS 600 Found for Bus Intel & Analytics 3
- DSS 610 Business Analytics 3
- DSS 615 Python Programming 3
- DSS 630 Database Mgmt Theory & Pract 3
- DSS 650 Process Simulation & Analysis 3
- DSS 660 Introduction to Data Mining 3
- DSS 665 R Statistical Language 3
- DSS 670 Data Visual & Perf Analytics 3
- DSS 680 Predictive Analytics 3
- DSS 740 Analytics w/ Machine Learning 3
Total Hours: 30
Data Science
In the Data Science track, students will learn about the closed source and open source programming languages and apply them to machine learning methodology, which is highly used in the field of business intelligence and analytics. Within the business intelligence field, an understanding of at least one programming language makes an impressive addition to any resume.
- DSS 600 Found for Bus Intel & Analytics 3
- DSS 610 Business Analytics 3
- DSS 615 Python Programming 3
- DSS 630 Database Mgmt Theory & Pract 3
- DSS 640 Managing Data Intelligence 3
- DSS 660 Introduction to Data Mining 3
- DSS 670 Data Visual & Perf Analytics 3
- DSS 740 Analytics w/ Machine Learning 3
Choose two additional courses from:
- DSS 620 Con & Pract of DSS Modeling
- DSS 650 Process Simulation & Analysis
- DSS 665 R Statistical Language
Total Hours: 30
Managerial Business Intelligence and Analytics
The Managerial BIA track prepares professionals to drive organizational performance in all functional areas (analytics, database support, programming, decision making, data visualization). This track gives students well-rounded skills to prepare them to become leaders within their teams, departments, and organizations.
- DSS 600 Found for Bus Intel & Analytics 3
- DSS 610 Business Analytics 3
- DSS 620 Con & Pract of DSS Modeling 3
- DSS 630 Database Mgmt Theory & Pract 3
- DSS 640 Managing Data Intelligence 3
- DSS 650 Process Simulation & Analysis 3
- DSS 660 Introduction to Data Mining 3
- DSS 670 Data Visual & Perf Analytics 3
- DSS 680 Predictive Analytics 3
- DSS 690 Special Topics Course 3
Total Hours: 30
SAS Certificate
The SAS Institute has endorsed the Master of Science in Business Intelligence & Analytics Program within the Haub School of Business and presents those who completed its program with a Business Intelligence Certificate, certified by SAS. This certificate will be issued to students who graduate from the MSBIA Program after January 2011 and successfully complete DSS 660 and DSS 680.
Admissions
Accreditations
English Language Requirements
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