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 to four (3-4) 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 to three (2-3) required SBS graduate courses in semester one followed by two (2) additional Academic English courses and two to three (2-3) 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:

INTO Pathway Students Only

Credits:

0

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 US 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

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 and predictive analytics techniques. Students develop knowledge of data visualization and interpretation coupled with conveying data, results and insights. Issues on data acquisition, storage and management will be discussed.

Credits:

3

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.

and one of the following two courses:

Prerequisites:

This course was formerly ISOM-815

Credits:

3

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.

Credits:

3

Description:

This course teaches students how to build and maintain data warehouses, and how to analyze and use this data as a source for business intelligence and competitive advantage. Students study data mining concepts and the use of analytics tools and methods for producing business knowledge. Topics include extraction, transformation and loading; decision support systems; text, web and data mining models as well as data presentation/visualization including dashboards, scorecards and various charts. Students build a data warehouse and practice the extraction and filtering process used to produce high quality data warehouses. Students will use tools such as MS Excel, SAP Lumira, Tableau and SAP Business Warehouse.

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:

MATH 128 or higher. REMINDER: STATS 250 is a required prerequisite MKT 220, FIN 200 and ISOM 201(prerequisite for ISOM 319)

Credits:

4

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.

Credits:

3

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

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:

INTO Pathway Students Only

Credits:

0

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 US 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.

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:

INTO Pathway Students Only

Credits:

0

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. Students will develop critical thinking, analytical skills and communication abilities. 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:

INTO Pathway Students Only

Credits:

0

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course emphasizes development, readiness, and academic success for Graduate Programs. This course covers western educational systems, critical reading and critical thinking, and graduate school study skills and methods. This is a non-credit course.

Credits:

3

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 and predictive analytics techniques. Students develop knowledge of data visualization and interpretation coupled with conveying data, results and insights. Issues on data acquisition, storage and management will be discussed.

Credits:

3

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:

INTO Pathway Students Only

Credits:

0

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 skills as well as professional communication.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:

INTO Pathway Students Only

Credits:

0

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, cross-cultural communication, academic and professional identity, advanced graduate program development, university resources, research methods, and presentation skills. This is a non-credit course.

Credits:

3

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.

and one of the following two courses:

Prerequisites:

This course was formerly ISOM-815

Credits:

3

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.

Credits:

3

Description:

This course teaches students how to build and maintain data warehouses, and how to analyze and use this data as a source for business intelligence and competitive advantage. Students study data mining concepts and the use of analytics tools and methods for producing business knowledge. Topics include extraction, transformation and loading; decision support systems; text, web and data mining models as well as data presentation/visualization including dashboards, scorecards and various charts. Students build a data warehouse and practice the extraction and filtering process used to produce high quality data warehouses. Students will use tools such as MS Excel, SAP Lumira, Tableau and SAP Business Warehouse.

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:

MATH 128 or higher. REMINDER: STATS 250 is a required prerequisite MKT 220, FIN 200 and ISOM 201(prerequisite for ISOM 319)

Credits:

4

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.

Credits:

3

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:

INTO Pathway Students Only

Credits:

0

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. Students will develop critical thinking, analytical skills and communication abilities. 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:

INTO Pathway Students Only

Credits:

0

Description:

This course is designed for students pursuing the graduate pathway program at Suffolk University. This course emphasizes development, readiness, and academic success for Graduate Programs. This course covers western educational systems, critical reading and critical thinking, and graduate school study skills and methods. This is a non-credit course.

Required Courses: Semester Two (without Statistics background)

Prerequisites:

This course was formerly ISOM-815

Credits:

3

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.

Credits:

3

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 and predictive analytics techniques. Students develop knowledge of data visualization and interpretation coupled with conveying data, results and insights. Issues on data acquisition, storage and management will be discussed.

Prerequisites:

INTO Pathway Students Only

Credits:

0

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 skills as well as professional communication.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:

INTO Pathway Students Only

Credits:

0

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, cross-cultural communication, academic and professional identity, advanced graduate program development, university resources, research methods, and presentation skills. This is a non-credit course.