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Applied Data Science

The MS in Applied Data Science degree from Bay Path University consists of 36 credits, 12 courses, that are offered completely online or a combination of online and on campus. Most students complete the degree in 12 to 24 months while continuing to work full-time. The degree positions you for an array of data science opportunities available across every industry. 

The degree focuses on the knowledge and skills required to analyze large, complex data sets in the context of real-world problems, applying industry-specific tools that generate actionable intelligence for decision-making and communicating the results using advanced visualization applications.

8 Required Core Courses: ADS531, ADS532, ADS533, ADS534, ADS635, ADS636, ADS637, and ADS670
Elective Courses (Choose 4): INF642, INF654, INF658, CIM507, CIM605, CBY510, CBY515, MBA660, MBA651, MLN500, MLN505, MHE500, MHE505, NMP500, NMP655 (Or any other graduate level courses from other programs approved by the program director)

To give prospective students the opportunity to build their confidence in their ability to handle the math required in data science assignments we offer a Free Calculus Prep Course

Curriculum & Schedules

Code Course Name Credit Hours
ADS531 Applied Linear Algebra 3

This course covers important concepts in linear algebra with emphasis on statistical applications. Topics include vector spaces, inner products, orthogonality, matrix decomposition/factorization, least squares, linear models, principal component analysis, Markov processes.

ADS532 Probability for Data Analytics 3

This is an introduction to the foundation and applications of statistics. Topics include basic probability concepts, limit theorems, data sampling, experimental design, estimation of parameters, hypotheses testing, ANOVA and linear regression. The course will use R or similar software.

ADS533 Statistical Inference for Data Analytics 3

This course covers additional topics in the applications of statistics. Topics include multivariate analysis, more on regression methods, categorical data analysis, more on ANOVA, time series analysis, bootstrap, simulation methods. The course will use R or similar software.

ADS534 Statistical Modeling 3

The application-focused course focuses on regression analysis including linear, multiple linear and logistic regression models, with detailed discussions of model formulation, model inference and model interpretation. Programming languages such as SAS will be utilized.

ADS635 Data Mining I 3

This course will be an introduction to data mining. Data Mining studies algorithms and computational paradigms that allow computers to find patterns and regularities in databases, perform prediction and forecasting, and generally improve their performance through interaction with data. Topics including feature selection, shrinkage methods, discriminant analysis, regularization methods, kernel smoothing methods and model assessment, all with hands-on application utilizing statistical packages and programming languages.

ADS636 Data Mining II 3

This course will cover additional topics in data mining including tree-based methods, neural networks, support vector machines, cluster analysis, graphical models, ensemble learning and text mining, all with hands-on application utilizing statistical packages and programming languages.

ADS637 Data Exploration and Visualization 3

This course is an introduction to data visualization. It includes data pre-processing and focuses on specific tools and techniques necessary to visualize complex data. Data visualization topics covered include design principles, perception, color, statistical graphs, maps, trees and networks, data visualization tools, and other topics as appropriate. Visualization tools may include Tableau, Python, and R, etc. The course introduces the techniques necessary to successfully implement visualization projects using the programming languages studied. 

ADS670 Case Analysis Capstone 3

This is a project-oriented course at the end of the program. Students will demonstrate their competence in the theory and practice learned from the program through the whole process of a complex data analysis project, including data collection, exploration, preparation, analysis, interpretation and presentation. The project can be either relevant to students’ experience or aspired filed, accompanied by a final essay in which students reflect upon the goals of the program and their personal goals, demonstrate how they met these goals, and what work supports their arguments.

CBY510 Foundations of Cybersecurity Management 3

This course provides an understanding of IT infrastructure and services, their vulnerabilities as well as the size and complexity of security threats faced by enterprises. The Course will focus on the tenets of cybersecurity of confidentiality, integrity, availability and governance. Building on an understanding of these infrastructures, the development of security practices, policies, and awareness and compliance programs, with an introductory look at legal and regulatory issues will be examined in the context of assurance and security. Issues of access and authentication; data confidentiality and integrity; data availability; and networking and routing will also be addressed.

CBY515 Foundations of Data Protection 3

This course provides students with an understanding of fundamental data protection techniques for protecting data at rest, data in motion, and data in processing. Techniques of data protection such as a basic overview and understanding of cryptology, encryption and other protection schemas and systems which are important for managers to understand will be considered. The course will also examine access controls; availability, authentication, confidentiality, data integrity, and non-repudiation are covered as well as an overview of defenses against DDOS and other data attacks. Security by diversity and security in depth will be presented as fundamental requirements. Issues of access and authentication; data confidentiality and integrity; data availability; and networking and routing will also be addressed.

CIM507 Applied Research Strategies 3

Applied Research Strategies provides students with strategies for designing, conducting and evaluating research so that they can solve problems and recommend solutions pertaining to communications and information science. Students acquire the knowledge of skills to formulate research problems; plan studies; gather, organize, analyze and interpret results; prepare research reports; and present findings and recommendations in professional contexts. Specific areas include: qualitative and quantitative research, sampling, measurement techniques, data collection, observational methods, and general principles of research design. Students use bibliographies and other print and computerized databases in conducting research. Throughout the course, students broaden and deepen their understanding of the relationships between research and theory.

CIM605 Decision Support Systems 3

Business Intelligence is a process that helps managers make evidence-based, rational decisions by applying an analytic approach to decision making. Good business decisions should lead to efficient operations, effective utilization of scarce resources, satisfied customers, and increased profits. The course examines two logical components of management information system: the structured The course examines two logical components of management information system: the structured decision system which lends itself to providing actual computer-generated decisions, and decision support systems, in which computer-based systems aid decision makers in confronting problems through direct interaction with data and analytic models. Several of the topics covered in this course include: decision theory, data warehousing and data mining, business analytics (i.e., descriptive and predictive statistics), rational and behavioral economic theories of decision-making.

INF642 Project Management 3

Students focus on project management through critical examination of project planning, design, production, documentation, and presentation techniques. The course distinguishes among the three primary purposes of project management: (1) planning and scheduling project tasks, (2) critical diagnosis and prediction of success or failure in meeting schedules, and (3) estimation of requirements for the project. Topics include: problem identification and definition, project design and analysis, feasibility measures, project charting methods (PERT, GANTT, CPM), process documentation techniques, information modeling, project design specifications and error diagnosis, and task monitoring. Various software packages are used as tools to assist in all phases of project management, development, and presentation.

INF654 Organizational Knowledge Management 3

This course develops the student’s understanding of how intellectual capital is created, shared, stored and manipulated. Students are required to do scholarly research on critical theories and applications of knowledge management in organizations. Special emphasis is placed on knowledge creation, the evaluation of knowledge as an organizational asset, and the transfer of knowledge within learning organizations.

INF658 Strategies of Information Management 3

This course considers the parameters an organization may use to identify strategic information and integrate information throughout all functions and processes of the business. Information flow and strategic integration of information as well as business management processes and change management are stressed.

MBA651 High Performance Leadership Strategies 3

The course focuses on students being exposed to distinctive high performance entrepreneurial thinking relating to management and leadership. In truth, everyone seeks high performance and excellence versus being good enough. The difficulty is we do not always have the tools or experience to get there. This course will utilize a number of critically acclaimed books on management and leadership to expose the students to best practices and processes while utilizing and practicing a unique high performance thought model. The singular goal of this course is to have students continue to develop and refine their high performance leadership model for the advancement of their profession, projects, companies and entrepreneurial endeavors.

MBA660 Investment Strategies & Risk Management 3

This course will focus on fundamentals of investment strategies and financial planning including stocks, bonds and mutual funds. Investment strategies learning will include understanding the differences between various types of mutual fund families like stock mutual funds, bond mutual funds, growth versus income funds, international funds, hybrid and target funds, industry and index ETFs. Applying asset allocation model and applying fund betas and standard deviations to distribute portfolio risk.

MHE500 Introduction to Higher Education Administration 3

This course provides a basic introduction to the administration of colleges and universities in modern-day America, including the role and purpose of various functions and departments and major organizational participants (e.g., faculty, students, administration/staff, board). Current topics affecting University and university operation are reviewed and the impact of state and federal policy on institutions is explored.

MHE505 Organization and Governance of Higher Education 3

This course provides an overview of the organizational characteristics and processes of colleges and universities with an emphasis upon the governance structure, i.e., the process for making major policy decisions. Additionally, students will be introduced to the sources of power and influence typically found in academic organizations, along with the primary issues related to organization and governance of higher education.

MLN500 Introduction to the Theory and Practice of Negotiation 3

This is the introductory course to the theory and practice of negotiation and will serve as one of the foundational classes for the degree. Students will learn the history, development and evolution, core theories, and varying frameworks in the field. They will also have the opportunity to engage in experiential activities that will provide them with practice developing their skills.

MLN505 Introduction to Models & Concepts in Leadership 3

This is the introductory course to the theory and models of leadership and will serve as one of the foundational classes for the degree. Students will learn the history, development, core theories, and varying models of leadership found in the field. They will also have the opportunity to engage in experiential activities that will provide them with practice developing their skills. Finally, they will grapple with real world case studies where they are put in the role of leader and decision maker.

NMP500 Foundations of Nonprofit Management 3

This course examines the theoretical, philosophical, practical and ethical perspectives related to the effective management and leadership of nonprofit organizations in the twenty-first century. Upon completion of the course, the student will possess an understanding of the historical development of the nonprofit sector; the multiple rationales for the existence of the nonprofit sector; the distinctive characteristics of nonprofit organizations; the structures, processes and complexities of organizational governance shared by volunteer board members and professional staff; the dynamic environment of the contemporary nonprofit organization; and the current issues of importance to nonprofit decision makers.

NMP655 Leadership & Personal Effectiveness 3

The focus of this course is learning the components & styles of dynamic leadership and how they can be adapted in your personal effectiveness as a nonprofit leader. Students will examine several leadership models through assigned texts, contemporary case models, reading and internet research. In addition to readings and associated papers, students will be required to interview a non-profit leader in the local environment and prepare an oral presentation of their interview findings and associated research.