M.S in Business Analytics

Manchester, New Hampshire

INTAKE: Jan, May & Sept

Program Overview

The M.S. in Business Analytics program at Southern New Hampshire University (SNHU) is a dynamic and STEM-designated graduate program designed to equip students with advanced skills in data analytics, business intelligence, and decision-making. This program combines a robust curriculum with practical applications, preparing students for careers at the intersection of business and data science. The M.S. in Business Analytics program at Southern New Hampshire University prepares graduates for success in the data-driven business landscape. With a STEM designation, practical applications, and a comprehensive curriculum, students develop the skills and knowledge needed to thrive in roles such as data analysts, business intelligence analysts, and data scientists across various industries.

Curriculum:

STEM Designation: The program holds STEM designation, highlighting its focus on Science, Technology, Engineering, and Mathematics. This designation recognizes the program's emphasis on quantitative and analytical skills, aligning with the evolving demands of the data-driven business landscape.
Comprehensive Curriculum: The curriculum is crafted to cover a broad spectrum of topics, including statistical analysis, data mining, predictive modeling, and data visualization. Students gain proficiency in tools and techniques essential for extracting insights from large datasets.
Practical Applications: The program emphasizes hands-on learning and practical applications of business analytics concepts. Students engage in real-world projects and case studies, applying their analytical skills to solve complex business challenges.
Industry-Relevant Skills: The curriculum is designed in collaboration with industry experts to ensure graduates acquire skills that are directly applicable to the current needs of businesses. Students develop the ability to translate data into actionable business strategies.
Cutting-Edge Tools and Technologies: Students have the opportunity to work with cutting-edge analytics tools and technologies used in the industry. This exposure ensures they are well-versed in the latest advancements, enhancing their competitiveness in the job market.
Capstone Project: The program typically includes a capstone project where students work on a comprehensive analytics project, demonstrating their ability to apply learned concepts to solve a real business problem. This project allows for practical experience and the creation of a portfolio showcasing skills to potential employers.
Flexible Learning Options: Recognizing the diverse needs of students, SNHU offers flexible learning options, including online courses. This flexibility allows working professionals to pursue advanced education while managing their professional and personal commitments.
Expert Faculty: The program is taught by experienced faculty members with a blend of academic expertise and industry experience. Faculty members guide students through the complexities of business analytics, providing valuable insights into industry best practices.
Networking Opportunities: SNHU fosters a collaborative learning environment, providing students with opportunities to network with faculty, alumni, and professionals in the business analytics field. Networking events and industry partnerships contribute to a vibrant and supportive analytics community.
Career Services and Support: The program includes robust career services and support to assist students in achieving their professional goals. Services may include career counseling, resume building, interview preparation, and access to job placement resources.

Location

Manchester, New Hampshire

Score

IELTS: 6.5

Tuition Fee

USD 14328

Entry requirements for postgraduate programs

1. Academic Requirements:

Prospective postgraduate students are required to demonstrate strong academic performance in their prior studies. The standard academic requirement is often set at a minimum of 80%. This criterion ensures that applicants have a solid foundation in their chosen field of study.

2. English Language Proficiency:

IELTS (International English Language Testing System): Overall score of 6.5
TOEFL iBT (Test of English as a Foreign Language, Internet-Based Test): Overall score of 71.
PTE (Pearson Test of English): Overall score of 50.
DET (Duolingo English Test): Minimum score of 105.

3. SPANTRAN Evaluation Required.

Southern New Hampshire University (SNHU) is committed to fostering a diverse and inclusive community, and this commitment extends to providing scholarship opportunities for international students.

International Merit Scholarships: SNHU offers International Merit Scholarships to recognize and reward outstanding academic achievements among international students. These scholarships are typically based on academic excellence, and eligible students may receive financial assistance to support their studies.

Global Citizen Scholarships: The Global Citizen Scholarships at SNHU are designed to support international students who demonstrate a commitment to making a positive impact in their communities. These scholarships may take into consideration factors such as community service, leadership, and extracurricular involvement.

Cultural Diversity Scholarships: SNHU values cultural diversity and may offer scholarships specifically aimed at supporting students from diverse backgrounds. These scholarships contribute to creating an inclusive learning environment.

Country-Specific Scholarships: SNHU may have scholarships that are tailored to students from specific countries. These scholarships recognize the unique contributions and perspectives that students from different regions bring to the university community.

International Student Ambassador Scholarships: SNHU may have programs that provide scholarships to international student ambassadors. These scholarships may be awarded to students who play a role in representing SNHU to the broader international community.

English Proficiency Scholarships: SNHU recognizes the importance of English proficiency for international students. Scholarships may be available to support students in improving their English language skills, ensuring a successful academic experience.

The Master of Science (M.S.) in Business Analytics program at Southern New Hampshire University (SNHU) opens a gateway to diverse and promising career prospects in the dynamic field of data-driven decision-making. Graduates of this program are equipped with a unique blend of analytical, statistical, and business skills, making them valuable assets in a range of industries. The M.S. in Business Analytics program at SNHU prepares graduates for a multitude of roles in the ever-expanding field of data analytics. With a solid foundation in both business and analytics, individuals are well-positioned to make a significant impact in industries where data-driven insights are paramount.

Data Analyst: Graduates can pursue roles as Data Analysts, where they are responsible for collecting, processing, and analyzing large datasets to derive meaningful insights. They play a crucial role in supporting business decision-making processes.
Business Intelligence Analyst: With expertise in analyzing complex data sets, graduates can become Business Intelligence Analysts. They focus on interpreting data trends, creating visualizations, and providing actionable insights to aid strategic planning.
Data Scientist: As Data Scientists, graduates can delve into advanced analytics and machine learning to uncover patterns and trends in data. They contribute to building predictive models and enhancing organizational decision-making.
Quantitative Analyst: In the finance sector, graduates can explore roles as Quantitative Analysts. They use statistical techniques to analyze financial data, assess risks, and inform investment decisions.
Marketing Analyst: With a focus on consumer behavior and market trends, graduates can enter the field of marketing analysis. They assist companies in understanding customer preferences, optimizing campaigns, and maximizing ROI.
Operations Analyst: Graduates can work as Operations Analysts, applying analytical methods to streamline processes, enhance efficiency, and optimize resource allocation within organizations.
Supply Chain Analyst: In the realm of logistics and supply chain management, graduates can pursue roles as Supply Chain Analysts. They leverage data analytics to improve supply chain efficiency, reduce costs, and mitigate risks.
Healthcare Analyst: With the increasing use of data in healthcare, graduates can enter the field as Healthcare Analysts. They analyze patient data, assess healthcare trends, and contribute to improving overall patient outcomes.
Predictive Modeler: Graduates can specialize in predictive modeling, creating models that forecast future trends and outcomes. This skill set is valuable across various industries, including finance, retail, and healthcare.
Consultant: Armed with analytical expertise, graduates may choose to work as consultants, providing strategic advice to organizations seeking to leverage data for improved decision-making.
Information Security Analyst: In the realm of cybersecurity, graduates can explore roles as Information Security Analysts. They focus on protecting organizational data, identifying vulnerabilities, and implementing security measures.
Financial Analyst: With a focus on financial data, graduates can pursue careers as Financial Analysts. They analyze market trends, assess investment opportunities, and contribute to financial planning.
Product Analyst: Graduates can work as Product Analysts, helping organizations understand customer preferences and market demands to enhance product development and marketing strategies.
Technology Consultant: Those with a strong blend of technology and business skills can become Technology Consultants, advising organizations on the implementation of data-driven technologies and strategies.
Entrepreneurship: Equipped with analytical skills, graduates may choose to start their own ventures, leveraging data to identify market opportunities and optimize business operations.

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