Bachelor of Science in Analytics and Data Science

4 Years On Campus Bachelors Program

University of New Hampshire

Program Overview

The Bachelor of Science in Analytics and Data Science at the University of New Hampshire is designed for students who are passionate about harnessing data to drive decision-making and innovation. This program is perfect for those looking to blend technical skills with analytical thinking, preparing them for a dynamic career in a rapidly evolving field.

Curriculum Structure:

In the first year, students will build a solid foundation in mathematics and programming, taking courses such as "Introduction to Data Science" and "Calculus I." These introductory courses equip students with essential skills in data manipulation and analysis, setting the stage for more advanced topics.

During the second year, students delve deeper into statistical methods and data visualization with courses like "Statistical Methods" and "Data Visualization." This year emphasizes practical applications of data analysis, allowing students to work on real-world projects that enhance their understanding of data interpretation and presentation.

In the third year, the focus shifts to machine learning and database management, with courses such as "Machine Learning" and "Database Management Systems." Students will learn to develop predictive models and manage large datasets, gaining hands-on experience that is crucial for their future careers.

In the final year, students will engage in capstone projects and advanced topics, including "Big Data Analytics" and "Data Ethics." This year is designed to synthesize their learning, allowing students to apply their knowledge in comprehensive projects that demonstrate their readiness for the workforce.

Focus Areas: Data Analysis, Machine Learning, Data Visualization, Big Data, Data Ethics

Learning Outcomes: Proficiency in data manipulation, statistical analysis, machine learning techniques, and ethical considerations in data science.

Professional Alignment (Accreditation): The program is accredited by the Computing Accreditation Commission of ABET, ensuring that it meets high standards of quality and relevance in the field.

Reputation (Employability Rankings): The University of New Hampshire consistently ranks highly in employability, with recent statistics showing that over 90% of graduates secure employment or continue their education within six months of graduation.

Experiential Learning (Research, Projects, Internships etc.)

At the University of New Hampshire, the BS in Analytics and Data Science program is designed to provide students with hands-on experience that translates theory into practice. Students engage in real-world projects, utilize cutting-edge technology, and collaborate with peers to solve complex data challenges. The program emphasizes experiential learning through various facilities and tools that enhance your educational journey.

Here are some key aspects of experiential learning in the program:

- Data Science Labs: Access to specialized labs equipped with the latest software and hardware for data analysis, including R, Python, and SQL.
- Group Projects: Collaborate with fellow students on team-based projects that simulate real-world data science scenarios, fostering teamwork and communication skills.
- Internship Opportunities: Gain practical experience through internships with local businesses and organizations, allowing you to apply your skills in a professional setting.
- Field Trips: Participate in field trips to tech companies and data-driven organizations, providing insights into industry practices and networking opportunities.
- Research Opportunities: Engage in faculty-led research projects that allow you to explore advanced topics in analytics and data science, contributing to your academic and professional growth.
- Access to Libraries and Resources: Utilize the university’s extensive library system, which includes databases and journals specific to data science and analytics.
- Collaboration with Institutes: Work alongside the UNH Institute for Health Policy and Practice, where you can apply data science techniques to real-world health issues.

Progression & Future Opportunities

The Bachelor of Science in Analytics and Data Science at the University of New Hampshire prepares students for a dynamic career in a rapidly growing field. Graduates often find themselves in roles such as Data Analyst, Business Intelligence Analyst, and Data Scientist, where they can leverage their skills to drive decision-making and innovation in various industries. With the increasing demand for data-driven insights, the opportunities for career advancement are substantial.

Here’s what you can expect in terms of progression and future opportunities:

- University Services: The Career and Professional Success office offers personalized career coaching, resume workshops, and networking events to connect students with potential employers. Additionally, the Data Science program provides access to internships and co-op opportunities that enhance real-world experience.

- Employment Stats and Salary Figures: According to recent data, graduates from the program have a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for graduates in analytics and data science roles is around $70,000, with potential for significant growth as they gain experience.

- University–Industry Partnerships: UNH has established partnerships with leading companies in technology and analytics, such as IBM and Oracle, providing students with unique internship opportunities and exposure to industry practices.

- Long-term Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that the education you receive meets the highest standards and is recognized by employers globally.

- Graduation Outcomes: Alumni of the program have gone on to work for top firms in various sectors, including finance, healthcare, and technology, showcasing the versatility and demand for skills acquired through this degree.

Further Academic Progression: After completing the BS in Analytics and Data Science, students have the option to further their education by pursuing a Master’s degree in Data Science or related fields. This advanced study can deepen their expertise and open doors to leadership roles in analytics, research, or academia. Additionally, students may consider certifications in specialized areas such as machine learning or data visualization to enhance their qualifications and marketability in the job market.