Touro University GST's Master of Science in Data Analytics program equips students with the skills to become data analysts or scientists in various industries. The program offers a blend of theoretical and practical learning, including real-world projects and internships. Graduates are prepared to make data-driven decisions and pursue careers in fields such as financial services, healthcare, and technology.

Degree Overview:

Overview: The Master of Science in Data Analytics program at Touro University GST provides students with the critical skills necessary to become a Data Analyst or Data Scientist working in a variety of fields across all industries. The integration of Data Analytics and Informatics has created a demand for professionals who can make data-driven decisions that propel their organizations forward. Objectives:

• Prepare graduate students to make sense of real-world situations, conditions, and frequent everyday activities by synthesizing and mining big data with the intention of uncovering patterns, relationships, and trends.
• Combine information management, statistics, analytical thinking, quantitative methods, data modeling, data warehousing, and data mining to produce visualizations and other business intelligence models that help organizational leaders predict and evaluate best practices.

Outline:

Program Content: The program focuses on developing students' skills in data analysis, data management, and data visualization.

• Core courses cover topics such as statistics for data analytics, multi-dimensional analytics and visualization, and principles of data analytics.
• Students can choose to concentrate in either Technology/Database or Business.
Program Structure:
• The program can be completed entirely online, in-person, or through a combination of both formats.
• The program can be completed in 18-24 months.
Course Schedule:
• Courses are offered in 8-week terms.
• The program can be started in the fall, spring, or summer.
Modules:

Core Courses

• MDAN 623: Statistics for Data Analytics
• Introduces univariate data analysis methods using statistics.
• Covers data visualization methods and practices, and an overview of sampling techniques for data collection.
• Teaches introductory statistical methods for the analysis and visualization of data and basic concepts of probability theory.
• MSIN 627: Multi-Dimensional Analytics and Visualization
• Introduces the practice of managing data as corporate assets by organizations to gain competitive advantage and meet regulatory demand.
• Describes the data management emerging profession, and skills required to perform the various data management functions for each role.
• MSIN 637: Principles of Data Analytics
• Provides a hands-on introduction to the field of Data Analytics.
• Teaches students the concepts and tools needed throughout the analysis process from formulating the research question to obtaining, cleaning, and collating data to making inferences and publishing results.

Thesis Course

• MDAN 615: Data Analytics Internship
• Provides students with the opportunity to work as an intern in the Data Analytics area, and then to formulate a paper or project based on the approved internship.
• The internship must be pre-approved and should provide the student with the ability to combine his/her conceptual, technical, and applied knowledge in a business environment.
• MDAN 617: Advanced Research in Data Analytics
• Gives students an individualized research, project including reading and reporting on a specific topic approved by an instructor.
• The subject, topics and related material must be relevant and advanced regarding data analytics either from a technology perspective or from a business perspective depending on the student's area of concentration.

Technology/Database Concentration Courses

• MSDA 601: Database Management
• Introduces the fundamental concepts of database management systems.
• Covers data modeling, database design, query optimization, and transaction management.
• MSDA 602: Data Warehousing
• Introduces the fundamental concepts of data warehousing.
• Covers data warehousing architecture, data integration, data quality, and data mining.
• MSDA 603: Big Data Analytics
• Introduces the fundamental concepts of big data analytics.
• Covers big data processing, big data storage, and big data visualization.

Business Concentration Courses

• MSBA 601: Business Intelligence
• Introduces the fundamental concepts of business intelligence.
• Covers business intelligence architecture, data integration, data quality, and data mining.
• MSBA 602: Data Mining
• Introduces the fundamental concepts of data mining.
• Covers data mining techniques, data mining algorithms, and data mining applications.
• MSBA 603: Predictive Analytics
• Introduces the fundamental concepts of predictive analytics.
• Covers predictive analytics techniques, predictive analytics algorithms, and predictive analytics applications.

Assessment:

Assessment Methods:

• Students will be assessed through a variety of methods, including:
• Exams
• Quizzes
• Papers
• Projects
• Presentations
Assessment Criteria:
• Students will be assessed on their:
• Knowledge of the course material
• Ability to apply their knowledge to real-world problems
• Ability to communicate their findings effectively

Teaching:

Teaching Methods:

• The program is taught through a variety of methods, including:
• Lectures
• Discussions
• Case studies
• Simulations
• Hands-on experience
Faculty:
• The program's faculty are experienced professionals with expertise in data analytics, data management, and data visualization.
Unique Approaches:
• The program offers a unique combination of theoretical and practical learning.
• Students have the opportunity to work on real-world projects and internships.

Careers:

Career Paths:

• Graduates of the program can pursue careers in a variety of fields, including:
• Data analyst
• Data scientist
• Business intelligence analyst
• Data engineer
• Data architect
Opportunities:
• The demand for data analytics professionals is growing rapidly.
• Graduates of the program will have the opportunity to work in a variety of industries, including:
• Financial services
• Healthcare
• Retail
• Manufacturing
• Technology
Outcomes:
• Graduates of the program have been successful in obtaining positions in a variety of industries.
• The program's alumni are employed at companies such as:
• Google
• Amazon
• Microsoft
• IBM
• Goldman Sachs

Touro University

Overview:

Touro University is a private, non-profit institution with a global network of over 98,000 alumni. Founded in 1971, it has grown to encompass 36 schools across various locations in the United States and internationally. Touro University emphasizes career-focused education, blending knowledge and values while maintaining a small school atmosphere.

Services Offered:

Student Life and Campus Experience:

Key Reasons to Study There:

Career-focused education:

Touro University prioritizes preparing students for successful careers in their chosen fields.

Diverse program offerings:

With 36 schools and 246 programs, students have a wide range of academic options to choose from.

Small school vibe:

Despite its size, Touro University strives to maintain a close-knit community feel.

Global reach:

Touro University has campuses across the United States and internationally, providing students with opportunities for diverse experiences.

Academic Programs:

Touro University offers a wide range of undergraduate and graduate programs across various disciplines, including:

• Medicine
• Education
• Law
• Business
• Health Sciences
• Arts and Sciences

Other:

• Touro University has a strong commitment to its Jewish heritage and values.
• The institution has a student-to-faculty ratio of 13:1, allowing for personalized attention and mentorship.
• Touro University provides financial aid to 83% of its undergraduate students.
• The university has a strong focus on social responsibility and actively engages in initiatives related to antisemitism and bias.