QS Rank:
34
Columbia University
New York
,United States
Program Rank
11
Program Name
Master of Science in Applied Analytics
Deadline
June 01st, 2025
Overview
The Master of Science in Applied Analytics program at Columbia University is an innovative and rigorous academic offering designed to equip students with the necessary skills and knowledge to excel in the rapidly changing landscape of data analytics. This 12-month program, housed within the esteemed School of Professional Studies, emphasizes a practical and hands-on approach to learning. With a curriculum that blends theory with real-world applications, students will delve deeply into the fields of data collection, data visualization, predictive analytics, and informed decision-making. This comprehensive program prepares graduates to tackle complex data challenges across various industries, making them indispensable in today’s data-driven economy.
This program is tailored for individuals seeking to enhance their quantitative skills and analytical mindset. The carefully curated curriculum features a range of core courses including Data Analytics, Data Management, and Applied Predictive Analytics, alongside electives that allow students to specialize in areas of interest. Students will engage in collaborative projects, case studies, and industry-focused assignments that foster a profound understanding of analytics tools and methodologies. Moreover, all courses are taught by a distinguished faculty who possess extensive expertise in analytics and related fields, ensuring that learners receive instruction that is both relevant and insightful.
One of the distinctive aspects of the Columbia program is its emphasis on experiential learning. Students will have access to a wealth of resources, including state-of-the-art labs, advanced analytics software, and datasets from real-world scenarios. The curriculum includes opportunities for hands-on projects with industry partners, allowing students to apply their learning in meaningful ways. Additionally, students can take advantage of Columbia's extensive research resources and collaborations that provide insights into emerging trends and best practices in analytics.
Alongside academic rigor, the program is designed to foster robust connections to the industry. Columbia's location in New York City — a global hub for business, finance, and technology — enables students to engage with professionals, attend networking events, and explore internship opportunities. The program's strong ties to leading companies in various sectors ensure that graduates are well-positioned for successful careers in analytics. As a result, alumni from the program have secured positions in high-demand roles such as Data Scientist, Data Engineer, and IT Data Analyst, with a median base salary of approximately $95,000.
In addition to industry connections, the program emphasizes the importance of a diverse and inclusive learning environment. With over 53% of the student body representing international backgrounds, students benefit from a rich multicultural experience that enhances their learning and professional network. Alumni have consistently praised the program for its supportive community and the invaluable skills they gained, which have propelled their careers in analytics.
Why Study Master of Science in Applied Analytics at Columbia University?
- World-Class Faculty: Learn from industry leaders and experienced educators who bring real-world expertise to the classroom.
- Cutting-Edge Curriculum: Gain practical skills through a curriculum designed to meet current market demands and future trends in data analytics.
- Networking Opportunities: Leverage Columbia's extensive connections to leading companies for internships and job placements.
- Diverse Learning Environment: Engage with a multicultural student body and experience a global perspective in analytics.
- Strong Career Outcomes: Benefit from high employment rates and competitive salaries post-graduation, with a median base salary of $95,000.
To apply for this esteemed program, prospective students should be aware of the specific application requirements. Applicants must submit a completed application form along with a $150 application fee. Required documents include transcripts, a resume, a personal statement detailing career goals and motivations, letters of recommendation, and proof of English proficiency through either the IELTS or TOEFL exams. For international applicants, the minimum IELTS score is 7.0, while a minimum TOEFL score of 100 is required. Other materials like a video interview may also be part of the admissions process.
Overall, the Master of Science in Applied Analytics from Columbia University is more than just an advanced degree; it's a transformative experience that positions graduates at the forefront of the analytics field. With its blend of academic excellence, practical experience, and strong industry ties, this program equips students with the tools needed to navigate and lead in an increasingly data-centric world. Don't miss the opportunity to become part of this vibrant and impactful community. The application deadline for the Fall intake is February 15th, 2025, with a final deadline on June 1st, 2025. Start your journey today by exploring the possibilities that await at Columbia University!
Total Tuition Fees
$91,296
Duration
12 Months
Median Salary
$95,000
Ranking
#18
US World and News Report
#11
The World University Rankings
#34
QS World University Rankings
Intake
Fall ( Sept - Nov )
Class Profile
Class Size
20
Average Age
22
Average Work Experience
2 Years
Diversity
California:
20%Florida:
5%Illinois:
4%Texas:
10%New York:
30%Others:
31%Career Outcomes
Median Earnings After Graduation
$95,000 / year
Graduation Rate
94%
Prospective Job Roles
Data Engineer
Data Science Researcher
Data Security Specialist
IT Data Analyst
Spatial Data Analyst
Data Scientist
Database Developer
Data Science Educator
Data analyst
Top recruiters
Eligibility Criteria
English Proficiency Tests
TOEFL
100
IELTS
7
Standardised Test Score
GRE
310
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Application Fee: 150
Transcript
IELTS
TOEFL
Video Interview
General LOR
Resume
Statement of Purpose
Provisional Certificate
Degree Certificate
Application Deadlines
| Priority 1 | Final Deadline | |
|---|---|---|
| Fall | Feb 15, 2025 | Jun 1, 2025 |
Fees and Funding
Tuition Fees
$91,296 / year
Overall Cost
$1,11,838 / year
Funding Options
Department Funding
Scholarships
Columbia University School of Engineering and Applied Science
FAQs
Admitted students who plan to enroll must submit official transcripts to Columbia Engineering. Certified and secure online official transcripts must be submitted directly to Columbia from your prior academic institution(s)’ Registrar Office to [email protected]; among these must be a transcript indicating conferral of a Bachelor’s degree. The policy for submitting official transcripts is as follows: 1) All students who have attended a college or university in the United States must submit electronic transcripts directly from their school to [email protected]. If a school does not offer electronic delivery, applicants must write to [email protected] to provide us with the link to their institution's webpage concerning transcript orders. Applicants may also be asked to provide additional documentation to confirm the school cannot send transcripts electronically. After verifying that your institution does not provide an electronic option, we will then authorize a hardcopy submission mailed directly to us by the Registrar of your university in a sealed envelope. 2) All students attending Chinese institutions will be required to contact CHESICC to arrange submission of a “Verification Report of China Higher Education Student's Academic Transcript” AND a “Verification Report of China Higher Education Qualification Certificate” or "Online Verification Report of China Higher Education Qualification Certificate" (for those earning a degree in China) to Columbia at [email protected]. 3) All other students who have attended an international university must submit an electronic transcript (if their school offers secure online delivery) to [email protected]. If the university cannot send transcripts electronically via a secure, password-protected system, applicants must order a Course-by-Course Evaluation and International Credential Advantage Package to be sent electronically to [email protected] from World Education Services (WES).
In this case, you would apply for admission just as any other prospective student following our usual application process. If you are admitted, you should be aware that the on campus MS program does not accept credits earned at another School toward the degree here. In other words, if you have taken similar courses at another School and you are accepted at Columbia those courses would not count toward your degree here. You may be able to replace courses you already took at another School with different courses at Columbia to make up the degree requirements. The degree requirement for the majority of MS programs at Columbia Engineering require 30 credits to complete. This may vary slightly depending on the program and whether the student has any deficiencies to make up. Upon admission, students may discuss their program coursework with an advisor. Prior to admission prospective students should review the department website for details about the programs.
Domestic students may enroll part-time (fewer than 12 credits) per term if the program allows for this. Most MS on campus programs allow part-time enrollment. However, some MS programs may require students to enroll full-time, such as the Chemical Engineering MS program. As an alternative, if you have other obligations or require a flexible schedule you may consider applying for CVN which allows all students to enroll part-time. Visit the department websites for more program details.
Yes. However, if you are accepted, you must complete the MS at Columbia University before continuing toward the PhD. This is referred to as the MS-PhD Track Program.
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