Master of Science in Business Analytics Pathway

The Sawyer Business School offers Accelerated and Standard Pathway programs for qualified graduate students starting in the fall and spring.

The Accelerated Program is a one semester program which typically requires one Academic English course and three (3) required SBS graduate courses. The Accelerated Pathway Program is only offered in the fall or spring terms.

The Standard Pathway Program is a two semester program which typically requires two Academic English courses and two (2) required SBS graduate courses in semester one followed by two (2) additional Academic English courses and two (2) required SBS graduate courses in semester two. The Standard Pathway Program is only offered in the fall or spring terms. Students who begin the Standard Pathway Program in the fall will enroll in 2 consecutive terms-fall and spring. Students who begin the Standard Pathway Program in the spring will enroll in 2 terms-spring and fall. The summer term is not a required term, therefore, no SBS Graduate Pathway courses are offered.

SBS graduate course credits, earned in the SBS Accelerated or Standard Pathway Program, will apply to the corresponding graduate degree program if successful progression requirements are met. SBS Graduate Pathway students must meet all academic standing requirements and policies to remain within their SBS Graduate Pathway and subsequent SBS graduate program.

Notes:

  • Courses may vary based on availability and term.
  • Upon successful completion of the MSBA Pathway program, the student must follow the requirements of the Master of Science in Business Analytics program.

MSBA Accelerated Pathway

1 semester program
31 credit program
9 credits apply from Graduate Pathway
22 required credits to complete MSBA program

Required Courses

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University to develop students' critical thinking and analysis skills and knowledge for study at a U.S. University. These skills are developed through cross disciplinary academic-related themes that are tailored to students' specific fields of interest/study. Course activities and assessments include critical reading primary and secondary research report writing oral presentations and career-focused networking. This is a non-credit course.

Credits:

3.00

Description:

This course introduces students to the concepts and applications of data analytics on large data sets for managerial decision-making. Students will learn foundation skills needed to extract valuable information out of data including various descriptive predictive and prescriptive analytics techniques using SAS Base as the Analytic tool. Student develop knowledge of data visualization and interpretation coupled with conveying data results and insights. Issues on data acquisition storage and management internal and external of a SAS Base framework will be discussed. This course will provide the much-needed coding skills highly sought after by many companies seeking to employ students from our university.

Credits:

3.00

Description:

Analyzes various real world business problems and explores the full scope of MS Excel's formulas functions and features to create data models and present solutions. Students analyze data design custom charts graphs PivotTables and Pivot charts create three-dimensional workbooks build links between files and endow worksheets with decision-making capabilities. Students conduct What-If Analysis utilizing Scenario Manager Solver Data Tables and Goal Seek. This course provides the skills necessary to pass the Microsoft Office Specialist Certification in Excel.

Prerequisites:

This course was formerly ISOM-815

Credits:

3.00

Description:

Introduces the importance of information as an organizational resource role of big data in organizations and the application of tools to provide high quality information. Students will be able to select the most appropriate data management tool (e.g. SQL vs. non-SQL databases) to business scenarios. Develops the skills needed to succeed in today's big data environment through the application of data management techniques cases and exercises. Students will become proficient in designing databases using entity relationship modeling and normalization in building and querying databases of various sizes with Access and SQL (an industry standard) preparing high quality data and applying data visualizing techniques. Students will complete a series of business-oriented hands-on exercises prepare cases and complete projects on database design and big data.

MSBA Accelerated Pathway (without Statistics background)

1 semester program
31 credit program
6 credits apply from Graduate Pathway
25 required credits to complete MSBA program

Required Courses (without Statistics background)

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University to develop students' critical thinking and analysis skills and knowledge for study at a U.S. University. These skills are developed through cross disciplinary academic-related themes that are tailored to students' specific fields of interest/study. Course activities and assessments include critical reading primary and secondary research report writing oral presentations and career-focused networking. This is a non-credit course.

Credits:

3.00

Description:

Analyzes various real world business problems and explores the full scope of MS Excel's formulas functions and features to create data models and present solutions. Students analyze data design custom charts graphs PivotTables and Pivot charts create three-dimensional workbooks build links between files and endow worksheets with decision-making capabilities. Students conduct What-If Analysis utilizing Scenario Manager Solver Data Tables and Goal Seek. This course provides the skills necessary to pass the Microsoft Office Specialist Certification in Excel.

Prerequisites:

This course was formerly ISOM-815

Credits:

3.00

Description:

Introduces the importance of information as an organizational resource role of big data in organizations and the application of tools to provide high quality information. Students will be able to select the most appropriate data management tool (e.g. SQL vs. non-SQL databases) to business scenarios. Develops the skills needed to succeed in today's big data environment through the application of data management techniques cases and exercises. Students will become proficient in designing databases using entity relationship modeling and normalization in building and querying databases of various sizes with Access and SQL (an industry standard) preparing high quality data and applying data visualizing techniques. Students will complete a series of business-oriented hands-on exercises prepare cases and complete projects on database design and big data.

Prerequisites:

MATH-128 or higher

Credits:

4.00

Description:

Application of statistical analysis to real-world business and economic problems. Topics include data presentation descriptive statistics including measures of location and dispersion introduction to probability discrete and continuous random variables probability distributions including binomial and normal distributions sampling and sampling distributions statistical inference including estimation and hypothesis testing simple and multiple regression analysis. The use of computers is emphasized throughout the course. Normally offered each semester.

MSBA Standard Pathway

2 semester program
31 credit program
12 credits apply from Graduate Pathway
19 required credits to complete MSBA program

Required Courses: Semester One

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course specifically targets the language skills necessary for oral communication within an academic context. Students work to develop their listening skills pronunciation and oral communication skills. These skills are developed through interdisciplinary academic-related themes tailored to students' specific fields of interest and/or study. This is a non-credit course

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course emphasizes readiness for graduate level work. This course covers understanding Western educational systems and cross-culture communication critical reading and thinking the basics of academic writing and graduate level study skills and methods. This is a non-credit course.

Credits:

3.00

Description:

This course introduces students to the concepts and applications of data analytics on large data sets for managerial decision-making. Students will learn foundation skills needed to extract valuable information out of data including various descriptive predictive and prescriptive analytics techniques using SAS Base as the Analytic tool. Student develop knowledge of data visualization and interpretation coupled with conveying data results and insights. Issues on data acquisition storage and management internal and external of a SAS Base framework will be discussed. This course will provide the much-needed coding skills highly sought after by many companies seeking to employ students from our university.

Credits:

3.00

Description:

Analyzes various real world business problems and explores the full scope of MS Excel's formulas functions and features to create data models and present solutions. Students analyze data design custom charts graphs PivotTables and Pivot charts create three-dimensional workbooks build links between files and endow worksheets with decision-making capabilities. Students conduct What-If Analysis utilizing Scenario Manager Solver Data Tables and Goal Seek. This course provides the skills necessary to pass the Microsoft Office Specialist Certification in Excel.

Required Courses: Semester Two

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course provides an in-depth review of a variety of key academic writing and research skills. These skills are developed through interdisciplinary academic-related themes tailored to students' specific fields of interest and/or study. This is a non-credit course.

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course extends and reinforces concepts introduced in AE 052 including critical thinking and cross-cultural communication. In addition this course introduces students to establishing a professional identity. This is a non-credit course.

Credits:

3.00

Description:

This course is required for MSA and MSF students and it is also a recommended elective for MBA students with a finance concentration. This course develops an understanding of the concepts tools and applications of economics at both the micro and macro level. The focus is on how economic analysis influences decision-making in the public and private sectors and how economic tools can enhance managerial effectiveness and organizational efficiency. The economic role of government and its impact on the business environment in a market economy the factors that influence firm performance and competitiveness and the role of financial institutions in the current economic environment are discussed throughout the course.

Prerequisites:

This course was formerly ISOM-815

Credits:

3.00

Description:

Introduces the importance of information as an organizational resource role of big data in organizations and the application of tools to provide high quality information. Students will be able to select the most appropriate data management tool (e.g. SQL vs. non-SQL databases) to business scenarios. Develops the skills needed to succeed in today's big data environment through the application of data management techniques cases and exercises. Students will become proficient in designing databases using entity relationship modeling and normalization in building and querying databases of various sizes with Access and SQL (an industry standard) preparing high quality data and applying data visualizing techniques. Students will complete a series of business-oriented hands-on exercises prepare cases and complete projects on database design and big data.

MSBA Standard Pathway (without Statistics background)

2 semester program
31 credit program
9 credits apply from Graduate Pathway
22 required credits to complete MSBA program

Required Courses: Semester One (without Statistics background)

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course emphasizes readiness for graduate level work. This course covers understanding Western educational systems and cross-culture communication critical reading and thinking the basics of academic writing and graduate level study skills and methods. This is a non-credit course.

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course specifically targets the language skills necessary for oral communication within an academic context. Students work to develop their listening skills pronunciation and oral communication skills. These skills are developed through interdisciplinary academic-related themes tailored to students' specific fields of interest and/or study. This is a non-credit course

Credits:

3.00

Description:

Analyzes various real world business problems and explores the full scope of MS Excel's formulas functions and features to create data models and present solutions. Students analyze data design custom charts graphs PivotTables and Pivot charts create three-dimensional workbooks build links between files and endow worksheets with decision-making capabilities. Students conduct What-If Analysis utilizing Scenario Manager Solver Data Tables and Goal Seek. This course provides the skills necessary to pass the Microsoft Office Specialist Certification in Excel.

Prerequisites:

MATH-128 or higher

Credits:

4.00

Description:

Application of statistical analysis to real-world business and economic problems. Topics include data presentation descriptive statistics including measures of location and dispersion introduction to probability discrete and continuous random variables probability distributions including binomial and normal distributions sampling and sampling distributions statistical inference including estimation and hypothesis testing simple and multiple regression analysis. The use of computers is emphasized throughout the course. Normally offered each semester.

Required Courses: Semester Two (without Statistics background)

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course provides an in-depth review of a variety of key academic writing and research skills. These skills are developed through interdisciplinary academic-related themes tailored to students' specific fields of interest and/or study. This is a non-credit course.

Prerequisites:

Academic English students only.

Credits:

0.00

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course extends and reinforces concepts introduced in AE 052 including critical thinking and cross-cultural communication. In addition this course introduces students to establishing a professional identity. This is a non-credit course.

Credits:

3.00

Description:

This course introduces students to the concepts and applications of data analytics on large data sets for managerial decision-making. Students will learn foundation skills needed to extract valuable information out of data including various descriptive predictive and prescriptive analytics techniques using SAS Base as the Analytic tool. Student develop knowledge of data visualization and interpretation coupled with conveying data results and insights. Issues on data acquisition storage and management internal and external of a SAS Base framework will be discussed. This course will provide the much-needed coding skills highly sought after by many companies seeking to employ students from our university.

Prerequisites:

This course was formerly ISOM-815

Credits:

3.00

Description:

Introduces the importance of information as an organizational resource role of big data in organizations and the application of tools to provide high quality information. Students will be able to select the most appropriate data management tool (e.g. SQL vs. non-SQL databases) to business scenarios. Develops the skills needed to succeed in today's big data environment through the application of data management techniques cases and exercises. Students will become proficient in designing databases using entity relationship modeling and normalization in building and querying databases of various sizes with Access and SQL (an industry standard) preparing high quality data and applying data visualizing techniques. Students will complete a series of business-oriented hands-on exercises prepare cases and complete projects on database design and big data.