| Program start date | Application deadline |
| 2024-07-08 | - |
| 2024-08-26 | - |
| 2024-10-14 | - |
| 2025-01-27 | - |
| 2025-03-17 | - |
| 2025-05-12 | - |
Program Overview
The Data Science and Analytics Online MS program from New England College equips students with the skills and knowledge to analyze data and extract meaningful insights. Through a flexible online format with six start times throughout the year, students gain expertise in data analysis tools, statistical modeling, machine learning, and data visualization. Graduates are prepared for high-demand careers in various industries, including healthcare, finance, and technology.
Program Outline
Degree Overview
Overview
Data Science and Analytics uses data from diverse fields like online dating, healthcare, transportation, and nuclear science to create valuable insights about populations and processes. This program equips students with the skills and knowledge needed to analyze data and extract meaningful insights from it.
Objectives
- Understand and apply fundamental data science concepts, methodologies, and techniques
- Gain expertise in data analysis tools and technologies
- Develop strong analytical and problem-solving skills
- Master machine learning techniques for both descriptive and predictive purposes
- Prepare for careers in various industries and organizations where data science is crucial
Description
This 36-credit, 18-month program offers unparalleled flexibility through its online delivery format. With six start times throughout the year, students can begin their data science journey at a time that best suits their schedules. Through interactive engaging online modules, students will gain a comprehensive understanding of the data science field, covering topics such as data analysis, data mining, statistical modeling, machine learning, data visualization, and big data technologies. This program caters to individuals with varying levels of experience, from those with no prior knowledge to those seeking to refine their existing data science skillset. Graduates will emerge equipped with the expertise necessary to thrive in today's data-driven world, making them highly sought after by various organizations.
Outline
Program Content
The program curriculum covers a wide range of data science topics, including:
- Introduction to data science and analytics
- Data acquisition and cleaning
- Data analysis and visualization
- Statistical modeling and machine learning
- Big data tools and technologies
- Python programming for data science
- Text analytics and natural language processing
- Web analytics
- Data mining and statistical modeling
Program Structure
The program consists of 12 core courses and 2 elective courses. Students can choose from a range of electives to further specialize in areas of interest.
Course Schedule
The program is offered online with six start dates throughout the year. Each course typically lasts 8 weeks.
- Data Science Tools
- Data Mining and Statistical Modeling
- Visual Analytics
- Python and Data Analytics
- Web Analytics
- Spreadsheets for Business Analysis
- Text Analytics and Natural Language Processing
- Machine Learning
- Big Data Tools and Architecture
Elective Courses:
- Internship in Data Analytics
- Special Projects
- Computer Security: Foundations
- Database Security
- Policy, Legal, Ethics, and Compliance
- Cybersecurity Planning and Management
- Network Security
- Building Secure Web Applications
- Cloud Computing
- Ethical Hacking
- Digital Forensics Tools and Techniques
Assessment
Assessment methods in the program include:
- Assignments: Regular assignments will test students’ understanding of the covered concepts.
- Exams: Midterm and final exams will assess students' overall knowledge and application of the learned material.
- Projects: Individual and group projects will provide students with hands-on experience in applying data science techniques to real-world problems.
Teaching
Teaching Methods
The program utilizes a blended learning approach, combining online instruction with interactive activities and real-world case studies. Students engage with the material through lectures, discussions, collaborative projects, and hands-on exercises.
Faculty
The program features experienced and knowledgeable faculty with expertise in data science, statistics, computer science, and related fields.
Unique Approaches
The program emphasizes active learning, encouraging students to participate in discussions, collaborate on projects, and apply theoretical concepts to real-world problems. This approach ensures a deeper understanding and fosters critical thinking and problem-solving skills.
Careers
Career paths
Graduates of the program are prepared for careers in various industries and positions, including:
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Statistician
- Machine Learning Engineer
- Data Engineer
- Research Scientist
Opportunities
The program opens doors to various opportunities in diverse sectors, such as:
- Healthcare
- Finance
- Technology
- Marketing
- Retail
- Government
- Non-profit organizations
Outcomes
Graduates of the program are well-positioned to:
- Secure employment in high-demand data science roles.
- Command competitive salaries in the job market.
- Make significant contributions to their chosen field.
- Pursue advanced studies in data science or related fields.
Other
The program also offers:
- Career services: Dedicated support for resume and cover letter writing, interview preparation, and job search assistance.
- Networking opportunities: Access to alumni network and connections within the data science industry.
New England College
Overview:
New England College (NEC) is an accredited, private, non-profit college located in Henniker, New Hampshire. It is known for its emphasis on experiential learning and serves over 5,000 undergraduate, graduate, and online students annually.
Services Offered:
NEC offers a wide range of services to its students, including:
Academic Resources:
MyNEC, academic advising, tutoring, writing center, library resources.Student Life and Activities:
Student clubs and organizations, intramural sports, recreational activities, campus events.Housing and Dining:
On-campus housing options for students, dining services.Additional Services:
Health services, counseling services, career services, financial aid, international student support.Student Life and Campus Experience:
NEC provides a vibrant and supportive learning community with a diverse student body from over 75 countries. Students can expect a range of on-campus experiences, including:
Social Events:
New and familiar events throughout the year.Athletics:
Over 20 NCAA Division III teams, recreational sports, and esports.Arts and Culture:
Putnam Theatre, Institute of Art and Design, galleries.Key Reasons to Study There:
Experiential Learning:
NEC emphasizes hands-on learning opportunities.Diverse Programs:
Offers a wide range of associate, bachelor's, master's, and doctoral programs.Supportive Community:
Provides a welcoming and inclusive environment for students.Strong Athletics Program:
Offers a variety of athletic opportunities for students.Academic Programs:
NEC offers a comprehensive range of academic programs, including:
Associate Degrees:
Various associate degree programs.Bachelor's Degrees:
Over 60 bachelor's degree programs in various fields.Master's Degrees:
Over 20 master's degree programs.Doctoral Program:
A doctoral program with multiple tracks.Other:
- NEC has a strong focus on online and graduate programs, offering over 30 programs for working professionals.
- The college has a three-year "earn while you learn" BSN program for nursing students.
- NEC is a member of the NCAA Division III and has a championship-winning athletics program.
- The college hosts various events and activities throughout the year, including admissions campus tours, presentations, and conferences.
Data Science and Analytics, Online MS - Entry Requirements:
EU Home Students:
- Bachelor’s degree from an accredited institution with a minimum GPA of 3.0.
- Strong foundation in mathematics, statistics, and computer programming.
- Background in data analysis, business intelligence, or a related field is preferred.
International Overseas Students:
- Bachelor’s degree from an accredited institution with a minimum GPA of 3.0.
- Strong foundation in mathematics, statistics, and computer programming.
- Background in data analysis, business intelligence, or a related field is preferred.
- Demonstration of English language proficiency through one of the following:
- TOEFL iBT score of 90 or higher
- IELTS score of 7.0 or higher
- PTE Academic score of 68 or higher
- Completion of an English language proficiency program approved by the New England Commission of Higher Education (NECHE).
Language Proficiency Requirements:
International Overseas Students:
- As stated above, international students must demonstrate English language proficiency through one of the following:
- TOEFL iBT score of 90 or higher
- IELTS score of 7.0 or higher
- PTE Academic score of 68 or higher
- Completion of an English language proficiency program approved by NECHE.
- These requirements ensure that students have the necessary language skills to effectively participate in lectures, discussions, and coursework conducted in English.
Additional Notes:
- The program also considers relevant work experience, volunteer work, and extracurricular activities during the application review process.
- Students with a GPA below 3.0 may be considered for admission on a case-by-case basis.
