Earning a Comp Sci Degree at New York Tech

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New York Tech offers an undergraduate degree in Computer Science that can be completed in four years. The program is accredited by the Computing Accreditation Commission of ABET.

The curriculum is designed to provide a strong foundation in computer science, including courses in programming, data structures, algorithms, computer systems, and software engineering. This foundation is essential for a successful career in the field.

New York Tech's Comp Sci program is taught by experienced faculty members who are experts in their fields. They bring real-world experience to the classroom, making the learning experience more engaging and relevant.

The program's curriculum is also regularly updated to reflect the latest developments in the field, ensuring that graduates have the skills and knowledge needed to succeed in the industry.

Degree Types

There are various types of computer science degrees that can help you achieve your career goals. Associate degrees in computer science typically require two years of full-time study and offer a quick path to the field.

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You can also pursue a bachelor's degree, which is the most widely applicable degree and takes four years to complete. This degree requires 120 credits and offers specializations such as artificial intelligence, data science, and software engineering.

For those who want to pursue leadership positions, a master's degree is a good option. It can lead to roles in academia and typically requires more time and credits than a bachelor's degree.

If this caught your attention, see: Ut Comp Sci Degree Plan

Bachelor's

A bachelor's degree in computer science is a great way to launch your career in this field. According to the National Center for Educational Statistics, 108,503 students were enrolled in a computer science undergraduate program in the 2021-22 school year, making this major one of the ten most popular fields of study.

You can earn a bachelor's degree in computer science online or on campus, usually requiring 120 credits and taking four years of full-time study. Coursework includes general education classes and electives alongside major-specific courses about topics like full-stack development, computer science theory, databases, and artificial intelligence.

For another approach, see: Ap Comp Sci Study Guide

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As a computer science major, you can sharpen your analytical and critical thinking skills while learning about programming languages, networks, and software design. Undergraduate specializations can include artificial intelligence, data science, game design, information systems, and software engineering.

According to Payscale data from April 2024, computer science majors with a BS earn an average annual salary of $93,000. Here are some popular specializations in computer science bachelor's programs:

  • Artificial intelligence
  • Data science
  • Game design
  • Information systems
  • Software engineering

Doctoral

Doctoral degrees in computer science are typically research-based, taking 4-5 years to complete, but some institutions offer professional doctorates like the DCS, which can be finished in about three years.

These programs often focus on practical skills, preparing graduates for high-ranking positions within organizations.

Doctoral students contribute to academic discourse through original research and theoretical analysis.

Both research-based and professional programs in computer science feature similar concentrations, such as machine learning, where students explore theories or technological developments that improve how computers learn and advance their computing capabilities.

Some common concentrations in computer science doctoral programs include:

  • Bioinformatics
  • Computer algebra
  • Cryptography
  • Quantum computing
  • Software engineering

Doctoral graduates can pursue careers in research and academia, or qualify for top positions in systems management.

Comp Sci Concentrations

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Comp Sci Concentrations offer a wide range of specializations for students to focus on.

Artificial intelligence is a popular concentration that involves developing intelligent machines that can learn and adapt.

Computer Forensics is another concentration that deals with investigating and analyzing digital evidence.

You can also specialize in Computer Engineering, which involves designing and developing computer hardware and software.

These concentrations are just a few examples of the many options available to computer science students.

Here are some of the Comp Sci Concentrations listed:

  • Artificial intelligence
  • Computer Forensics
  • Computer Engineering
  • Computer Programming
  • Cybersecurity
  • Data Science
  • Database Management
  • Information Systems
  • Information Technology
  • Machine Learning
  • Network Administration
  • Software Development
  • Software Engineering
  • Web Development

Data Analytics Engineering

Data Analytics Engineering is a fascinating concentration that allows you to collect, organize, and manage big data to retrieve and visualize detailed insights. This is made possible through a joint effort between New York Tech and IBM.

To gain the technical skills needed for data analytics engineering, you'll need to complete a program like the Data Analytics Engineering, MS, which can be earned in five years through the BS-MS accelerated (BAM) program. This program is designed for highly-qualified students in the Computer Science, BS program.

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The BAM program allows students to earn up to 9 credits of graduate coursework that count towards both the BS and MS degrees. Students must have successfully completed CS 310 Data Structures and CS 330 Formal Methods and Models to be eligible for the program.

Some of the graduate courses that can be taken as part of the BAM program include Theory and Applications of Data Mining (CS 584), Database Systems (CS 550), and Introduction to Artificial Intelligence (CS 580). However, students may not use both the graduate course and the undergraduate alternative for their BS degree.

Here are some of the graduate courses that can be taken as part of the BAM program:

Students must still take the DAEN core courses (AIT 580 Analytics Big Data to Information, OR 531 Analytics and Decision Analysis, and STAT 515 Applied Statistics and Visualization for Analytics) and also have the option to take up to 6 additional credits of graduate coursework on reserve, which can be used for the MS degree only.

Engineering Double Major

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If you're interested in pursuing a double major in computer science, you have options. You can earn a double major in Computer Science and Computer Engineering by completing additional credits beyond the 120 credits required for the Computer Science degree.

The additional credits must be part of an approved plan of study, so be sure to check with the department for more information. This can be a great way to gain a deeper understanding of computer engineering principles and expand your career opportunities.

For example, if you're interested in computer engineering, you can take courses like OR 541: Operations Research: Deterministic Optimization or OR 542: Operations Research: Stochastic Models to gain a better understanding of how to apply mathematical models to engineering problems.

To pursue a double major in Computer Science and Computer Engineering, you'll need to complete an approved plan of study, which will outline the specific courses you need to take. This will likely involve taking additional courses in computer engineering, but the exact requirements will depend on your plan of study.

A different take: Comp Sci Degree Plan Tamu

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Some other options for computer science students include earning a minor in Computer Science, or pursuing a certificate in Computer Science. These options can be a great way to gain additional skills and knowledge in computer science without committing to a full double major.

Here are some options for computer science students who want to earn a minor or certificate:

  • Computer Science Minor
  • Computer Science Undergraduate Certificate
  • Software Engineering Minor

Core

Core courses are the foundation of any computer science program, providing a solid introduction to the field. These courses typically include programming fundamentals, mathematical foundations, computer systems, and data structures.

The Fundamentals of Computer Programming sequence is a common core course requirement, consisting of COMP_SCI 111, 150, and 211. This sequence covers the basics of programming and is essential for any computer science major.

Mathematical Foundations of Comp Science (COMP_SCI 212) is another core course that explores the mathematical principles underlying computer science. This course provides a strong foundation for more advanced computer science concepts.

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Introduction to Computer Systems (COMP_SCI 213) is a core course that introduces students to the basics of computer systems, including hardware and software components. This course provides a solid understanding of how computer systems work.

Data Structures & Algorithms (COMP_SCI 214) is a core course that covers the design and analysis of algorithms, as well as data structures such as arrays, linked lists, and trees. This course is essential for any computer science major.

Here is a list of the core courses mentioned:

  • COMP_SCI 111: Fundamentals of Computer Programming
  • COMP_SCI 150: Fundamentals of Computer Programming
  • COMP_SCI 211: Fundamentals of Computer Programming
  • COMP_SCI 212: Mathematical Foundations of Comp Science
  • COMP_SCI 213: Introduction to Computer Systems
  • COMP_SCI 214: Data Structures & Algorithms

These core courses provide a solid foundation for any computer science major, and are essential for success in the field.

Career and Job

Career and job opportunities in computer science are plentiful and diverse. The field is expected to experience above-average growth for all computer and information technology occupations through 2032, with areas like cybersecurity and data science expected to surpass other disciplines.

You can explore various career paths with a computer science degree, including cybersecurity, database administration, software development, and more. Some of the specific career paths to consider are: Cybersecurity/Digital ForensicsDatabase AdministratorInformation Technology SpecialistSoftware DeveloperData ScientistNetwork AnalystSystem Programmer

Professionals in the field can expect a median U.S. annual salary of $100,530 as of May 2022, with some careers like computer network architects earning a median annual salary of $129,840 in 2023.

A different take: Comp Sci Average Salary

Career Options

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Computer science graduates have a wide range of career paths to choose from, including cybersecurity, digital forensics, and data science.

The Bureau of Labor Statistics predicts above-average growth for all computer and information technology occupations through 2032.

Cybersecurity is a rapidly growing field, with the potential for double-digit growth over the next 10 years.

Some of the top career paths for computer science graduates include cybersecurity/digital forensics, database administrator, information technology specialist, software developer, data scientist, network analyst, and system programmer.

Here are some of the most in-demand jobs in the field:

  • Cybersecurity/Digital Forensics
  • Database Administrator
  • Information Technology Specialist
  • Software Developer
  • Data Scientist
  • Network Analyst
  • System Programmer

These careers offer a range of job opportunities, from entry-level positions to leadership roles, and come with a high median salary, with professionals earning a median U.S. annual salary of $100,530 as of May 2022.

STEM OPT Extension

If you're an international F-1 student, you're in luck because you're eligible for a 24-month STEM OPT extension. This extension allows you to work in the U.S. for two years in an area directly related to your field of study.

To qualify, you need to have completed a degree program and then completed the customary 12-month post-completion Optional Practical Training (OPT).

Program Details

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To get started with your computer science degree, you need to know the basics of the program. Before you begin, check out the program details at New York Tech.

The bachelor's in computer science program is a great place to start building your skills, experience, and credentials. You can learn more about applying to the program and related scholarship opportunities.

Applying to the program requires some planning, so be sure to do your research and learn more about the application process.

For more insights, see: How to Learn to Code for Beginners

Frequently Asked Questions

What is a comp sci degree?

A Computer Science degree focuses on the study of software and its applications, including theory, design, development, and use. It's a field that explores the inner workings of computers and computational systems to create innovative solutions.

Is comp sci a hard degree?

Yes, computer science is considered a challenging degree due to its complex and mathematically rigorous nature. However, with dedication and the right resources, it can also be a highly rewarding and in-demand field.

Can I make $100k with a computer science degree?

Yes, with a computer science degree, you can potentially earn a salary range of $110,000 to $120,000, depending on the specific role and industry. Consider a career in Salesforce development or deployment to reach this salary range.

Is comp sci a lot of math?

Yes, computer science relies heavily on math, as it's based on verifying logical statements and requires a strong foundation in mathematical concepts. If you're interested in pursuing a degree in comp sci, be prepared to take several math courses as part of your program.

Jay Matsuda

Lead Writer

Jay Matsuda is an accomplished writer and blogger who has been sharing his insights and experiences with readers for over a decade. He has a talent for crafting engaging content that resonates with audiences, whether he's writing about travel, food, or personal growth. With a deep passion for exploring new places and meeting new people, Jay brings a unique perspective to everything he writes.

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