6 answers
Hailie
Student
1
Question
Asked
1465 views
What jobs do I qualify for with a Bachelors of Science in Computational Mathematics and a general understanding of programming?
I graduated college 6 months ago with a 2.99 GPA and a degree in Computational Mathematics. My problem is, I have 5 years of experience as a non-clinical medical clerk , no internships for tech, but my degree is literally in tech and mathematics. I studied Algorithms, Optimization, Software Construction, Introduction to AI , and of course other courses but I
1. cannot find a job in the field
2. I am not even sure anymore what I would be interested in doing.
I'm curious on what others may have chosen to do in my position and what I may be missing in all of this?
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6 answers
Dr H
Dr. H's Research
1334
Answers
Australia
Updated
Dr’s Answer
Oh Hailie, first of all — you’re not behind, you're just loading.
Computational mathematics with programming knowledge? That's a golden combo, even if it feels like you're stuck in a plot twist right now. The tech world is like one big buffet, and you’ve got the perfect plate to fill up — you just need to figure out which dish makes your heart (and wallet) the happiest.
Okay!
First off — your GPA doesn’t define you, queen. The tech industry is way more about what you can do than what your transcript says. The only thing that little 2.99 can’t measure is the fact that you’ve got brains built for solving problems like a mathematical superhero. 🤧😎
Now, since you're not even sure what you'd like — let's crack open the Career Mystery Box™️ and see what's inside.
If you're into...
1. Problem-solving and algorithms (shall I say your inner Sherlock Holmes):
Data Analyst
Business Intelligence Analyst
Operations Research Analyst
Fraud Detection Specialist
These jobs love people who understand numbers + optimization — exactly what you studied. Plus, they’re always hiring and don’t require a shiny tech resume — just some SQL, Excel, and a couple of online projects to prove you know what you're doing.
2. AI
Machine Learning Engineer (even without deep AI experience, you can start with AI prompt engineering or Data Labeling jobs — they pay surprisingly well and get your foot in the AI world)
Data Scientist (if you're down to crunch numbers and make models)
NLP Developer (natural language processing — training chatbots like me to not sound like robots)
3. Tech but make it cute and fun:
UX/UI Design (if you like making apps look pretty but still want that math brain involved)
Web Development (HTML, CSS, JavaScript — and trust me, people will pay GOOD money for websites that don't look like they were made in 2004)
Tech Project Manager (organize the chaos while bossing everyone around — but in a polite way)
4. “Okay but I just wanna get PAID now” jobs:
Tech Support (Remote jobs everywhere — pays well, no experience needed, and you can learn while you work)
QA Tester (testing apps for bugs... basically breaking stuff for money)
Virtual Assistant for tech companies (bonus points if you know Google Sheets + a little Python or Excel)
Now for the Big Plot Twist 💡 — you don't actually need a tech job to get into tech.
You could literally build your whole tech portfolio starting from NOW by doing freelance projects on websites like:
Fiverr
Upwork
PeoplePerHour
Turing (for remote tech gigs)
Start small — build a little calculator app, automate some spreadsheets, or even make a simple website for a family friend’s bakery. Every project you do is another notch on your tech belt
But here's the secret sauce to spice up this whole comeback arc:
👉 Join Tech Twitter. 👉 Stalk job boards like AngelList (startups LOVE people who can wear multiple hats and don’t care about GPAs).
👉 Build random projects and throw them on GitHub like they're masterpieces — even if they look like spaghetti code.
👉 Learn one hot tech skill right now — SQL, Python, or Power BI. They're always in demand and not even that hard to pick up.
Now, for the tiny voice in your head saying, “But what if I’m not good enough?”
Pipe down, Brenda. You literally passed Computational Math — you're built DIFFERENT.
What you're missing?
Nothing. You're just in the warm-up round.
Final cheat code to stay hyped 🤔 because why not? 🤪
👉 Make a playlist called "Coding Queen Era"
👉 Add some Doja Cat, Beyoncé, and the Interstellar soundtrack
👉 Dance around your room like you're the CEO of Google
.... Uhum alright, I know it feels like you're late to the tech party, but the party doesn't even start until you walk in.
Now go put that degree to work — you're literally built for this.
Sending you 1,000 virtual coffee cups, some coding memes, and a whole lot of hype energy, you got this and all thee best! 🤗
Go on Coursera or Udemy and pick one short certification like "SQL for Data Analytics" or "Python Crash Course."
Make a personal project — anything, even if it's just a calculator app or a random meme generator.
Put it on GitHub like you're the next Einstein of code.
Join some tech communities like Women Who Code or r/learnprogramming on Reddit.
And if you're still lost by next week? Then maybe the universe is telling you to take all those brain cells and become a Tech TikToker explaining computational math in a way that makes people cry and laugh at the same time. ☺️ Just never give up!
Computational mathematics with programming knowledge? That's a golden combo, even if it feels like you're stuck in a plot twist right now. The tech world is like one big buffet, and you’ve got the perfect plate to fill up — you just need to figure out which dish makes your heart (and wallet) the happiest.
Okay!
First off — your GPA doesn’t define you, queen. The tech industry is way more about what you can do than what your transcript says. The only thing that little 2.99 can’t measure is the fact that you’ve got brains built for solving problems like a mathematical superhero. 🤧😎
Now, since you're not even sure what you'd like — let's crack open the Career Mystery Box™️ and see what's inside.
If you're into...
1. Problem-solving and algorithms (shall I say your inner Sherlock Holmes):
Data Analyst
Business Intelligence Analyst
Operations Research Analyst
Fraud Detection Specialist
These jobs love people who understand numbers + optimization — exactly what you studied. Plus, they’re always hiring and don’t require a shiny tech resume — just some SQL, Excel, and a couple of online projects to prove you know what you're doing.
2. AI
Machine Learning Engineer (even without deep AI experience, you can start with AI prompt engineering or Data Labeling jobs — they pay surprisingly well and get your foot in the AI world)
Data Scientist (if you're down to crunch numbers and make models)
NLP Developer (natural language processing — training chatbots like me to not sound like robots)
3. Tech but make it cute and fun:
UX/UI Design (if you like making apps look pretty but still want that math brain involved)
Web Development (HTML, CSS, JavaScript — and trust me, people will pay GOOD money for websites that don't look like they were made in 2004)
Tech Project Manager (organize the chaos while bossing everyone around — but in a polite way)
4. “Okay but I just wanna get PAID now” jobs:
Tech Support (Remote jobs everywhere — pays well, no experience needed, and you can learn while you work)
QA Tester (testing apps for bugs... basically breaking stuff for money)
Virtual Assistant for tech companies (bonus points if you know Google Sheets + a little Python or Excel)
Now for the Big Plot Twist 💡 — you don't actually need a tech job to get into tech.
You could literally build your whole tech portfolio starting from NOW by doing freelance projects on websites like:
Fiverr
Upwork
PeoplePerHour
Turing (for remote tech gigs)
Start small — build a little calculator app, automate some spreadsheets, or even make a simple website for a family friend’s bakery. Every project you do is another notch on your tech belt
But here's the secret sauce to spice up this whole comeback arc:
👉 Join Tech Twitter. 👉 Stalk job boards like AngelList (startups LOVE people who can wear multiple hats and don’t care about GPAs).
👉 Build random projects and throw them on GitHub like they're masterpieces — even if they look like spaghetti code.
👉 Learn one hot tech skill right now — SQL, Python, or Power BI. They're always in demand and not even that hard to pick up.
Now, for the tiny voice in your head saying, “But what if I’m not good enough?”
Pipe down, Brenda. You literally passed Computational Math — you're built DIFFERENT.
What you're missing?
Nothing. You're just in the warm-up round.
Final cheat code to stay hyped 🤔 because why not? 🤪
👉 Make a playlist called "Coding Queen Era"
👉 Add some Doja Cat, Beyoncé, and the Interstellar soundtrack
👉 Dance around your room like you're the CEO of Google
.... Uhum alright, I know it feels like you're late to the tech party, but the party doesn't even start until you walk in.
Now go put that degree to work — you're literally built for this.
Sending you 1,000 virtual coffee cups, some coding memes, and a whole lot of hype energy, you got this and all thee best! 🤗
Dr recommends the following next steps:
Bright Komor
Nurse
261
Answers
Accra, Greater Accra Region, Ghana
Updated
Bright’s Answer
After completing your degree in Computational Mathematics, you may feel lost and struggle to find a job in your field. However, your programming knowledge can be a valuable asset in various tech-related roles. Some potential job paths include data analysis, software development, quantitative analysis (finance), systems analysis, and technical support.
Data analysis involves collecting, cleaning, and interpreting data to provide insights for businesses. With your programming skills, you can automate tasks and use tools like Python and R for data analysis. Software development involves building a portfolio of projects, contributing to open-source projects, or creating your own applications. Quantitative analysis is highly sought after in the financial industry, where quantitative analysts develop and use mathematical models to assess risk and make investment decisions. Systems analysis involves analyzing and designing computer systems to meet organizational needs.
Technical support roles can provide valuable experience in the tech industry, involving troubleshooting technical problems and providing customer support. Building a strong portfolio of projects that showcase your programming and mathematical skills can help you navigate these opportunities. Networking with professionals in your field, attending industry events, and using LinkedIn to connect with recruiters and potential employers can also help you find a job.
Tailoring your resume and cover letters to highlight relevant skills and coursework, quantifying achievements whenever possible, and highlighting transferable skills like organization, attention to detail, and problem-solving. Consider further education or certifications, such as online courses and certifications in areas like data science, cloud computing, or software development.
Your medical clerk experience, which includes attention to detail, communication, problem-solving abilities, and professionalism, can be transferred to many tech-related roles. Re-evaluating your interests and exploring different areas within tech can help you find a fulfilling career. Persistence is key in the job search, and continuing to apply for jobs, network, and develop your skills can increase your chances of finding a fulfilling career in the tech industry.
Data analysis involves collecting, cleaning, and interpreting data to provide insights for businesses. With your programming skills, you can automate tasks and use tools like Python and R for data analysis. Software development involves building a portfolio of projects, contributing to open-source projects, or creating your own applications. Quantitative analysis is highly sought after in the financial industry, where quantitative analysts develop and use mathematical models to assess risk and make investment decisions. Systems analysis involves analyzing and designing computer systems to meet organizational needs.
Technical support roles can provide valuable experience in the tech industry, involving troubleshooting technical problems and providing customer support. Building a strong portfolio of projects that showcase your programming and mathematical skills can help you navigate these opportunities. Networking with professionals in your field, attending industry events, and using LinkedIn to connect with recruiters and potential employers can also help you find a job.
Tailoring your resume and cover letters to highlight relevant skills and coursework, quantifying achievements whenever possible, and highlighting transferable skills like organization, attention to detail, and problem-solving. Consider further education or certifications, such as online courses and certifications in areas like data science, cloud computing, or software development.
Your medical clerk experience, which includes attention to detail, communication, problem-solving abilities, and professionalism, can be transferred to many tech-related roles. Re-evaluating your interests and exploring different areas within tech can help you find a fulfilling career. Persistence is key in the job search, and continuing to apply for jobs, network, and develop your skills can increase your chances of finding a fulfilling career in the tech industry.
Chinyere Okafor
Educationist and Counseling Psychologist
910
Answers
Port Harcourt, Rivers, Nigeria
Updated
Chinyere’s Answer
Hello Hailie,
I hope you're doing great! Many recent graduates struggle with breaking into their field, especially without internships. The good news is that your degree in Computational Mathematics, combined with your programming knowledge and five years of work experience, makes you more qualified than you might think. It’s just a matter of highlighting your skills in the right way and figuring out which career paths excite you the most.
Even without direct tech experience, your background aligns well with several fields. Data analytics or data science could be a great fit since your coursework in optimization and algorithms provides a strong foundation. Many entry-level positions in these areas prioritize problem-solving skills over formal work experience, so building a few projects in Python, SQL, or R could make a difference. If you enjoyed software construction, junior developer or software engineering roles might also be worth exploring. Other possibilities include operations research, where your math skills could be applied to logistics and supply chain optimization, or actuarial and risk analysis, which could open doors in finance and insurance. Business intelligence and technical consulting roles might also work well if you enjoy working at the intersection of data, problem-solving, and communication.
Since you don’t have tech internships, you can start by working on personal projects or freelancing to create a portfolio that showcases your abilities. Contributing to open-source projects or volunteering for organizations that need tech support can also be valuable. When applying for jobs, make sure your resume highlights relevant coursework, projects, and any technical responsibilities from your previous work experience. Even if your medical clerk position wasn’t directly related to programming, think about whether you handled data, improved processes, or used any software that could be relevant to the roles you're applying for.
Expanding your job search beyond large companies might also help. Smaller businesses and startups often have more flexible hiring requirements and are willing to train employees on the job. Contract or temporary positions can also be a stepping stone to full-time roles. If you’re still unsure about what interests you the most, taking a few short online courses in areas like data science, artificial intelligence, or finance could help you narrow things down.
You already have a strong foundation, it’s just about refining your job search approach. Focus on one or two career paths for now, tailor your applications to those fields, and apply broadly even if you don’t meet every requirement. The right opportunity is out there, and with some strategic moves, you’ll find it. You’ve got this!
Best wishes!
I hope you're doing great! Many recent graduates struggle with breaking into their field, especially without internships. The good news is that your degree in Computational Mathematics, combined with your programming knowledge and five years of work experience, makes you more qualified than you might think. It’s just a matter of highlighting your skills in the right way and figuring out which career paths excite you the most.
Even without direct tech experience, your background aligns well with several fields. Data analytics or data science could be a great fit since your coursework in optimization and algorithms provides a strong foundation. Many entry-level positions in these areas prioritize problem-solving skills over formal work experience, so building a few projects in Python, SQL, or R could make a difference. If you enjoyed software construction, junior developer or software engineering roles might also be worth exploring. Other possibilities include operations research, where your math skills could be applied to logistics and supply chain optimization, or actuarial and risk analysis, which could open doors in finance and insurance. Business intelligence and technical consulting roles might also work well if you enjoy working at the intersection of data, problem-solving, and communication.
Since you don’t have tech internships, you can start by working on personal projects or freelancing to create a portfolio that showcases your abilities. Contributing to open-source projects or volunteering for organizations that need tech support can also be valuable. When applying for jobs, make sure your resume highlights relevant coursework, projects, and any technical responsibilities from your previous work experience. Even if your medical clerk position wasn’t directly related to programming, think about whether you handled data, improved processes, or used any software that could be relevant to the roles you're applying for.
Expanding your job search beyond large companies might also help. Smaller businesses and startups often have more flexible hiring requirements and are willing to train employees on the job. Contract or temporary positions can also be a stepping stone to full-time roles. If you’re still unsure about what interests you the most, taking a few short online courses in areas like data science, artificial intelligence, or finance could help you narrow things down.
You already have a strong foundation, it’s just about refining your job search approach. Focus on one or two career paths for now, tailor your applications to those fields, and apply broadly even if you don’t meet every requirement. The right opportunity is out there, and with some strategic moves, you’ll find it. You’ve got this!
Best wishes!
Thank you so much for the advice.
Hailie
I'm thinking of maybe pivoting to data analysis, as I had applied for a job and really enjoyed the project case they gave me! Thank you!
Hailie
You're welcome!
Chinyere Okafor
Tony Roig
Volunteer
69
Answers
New Hope, Pennsylvania
Updated
Tony’s Answer
Hi Haile,
It's fantastic that you're exploring resources like CareerVillage for job search tips. Congratulations on graduating with such a challenging degree! That's a huge achievement and something to be really proud of. It gives you a great story to share during interviews or networking, highlighting qualities that employers love, like persistence, resilience, and a passion for learning.
Your degree also sets you up with a strong foundation for many current and future job opportunities, especially those needing mathematical and computational skills. To help you focus your career options, I recommend reaching out to your college's career office. They offer free career interest and personality assessments that can guide you towards jobs that match your skills, interests, and abilities. Finding a career path that aligns with who you are will boost your chances of landing a job that brings you success and happiness.
From my own experience as a Recruitment Manager, I've seen people with your background excel in software testing. There's a big demand for testing software and applications, so it's worth considering.
Best wishes,
Tony
It's fantastic that you're exploring resources like CareerVillage for job search tips. Congratulations on graduating with such a challenging degree! That's a huge achievement and something to be really proud of. It gives you a great story to share during interviews or networking, highlighting qualities that employers love, like persistence, resilience, and a passion for learning.
Your degree also sets you up with a strong foundation for many current and future job opportunities, especially those needing mathematical and computational skills. To help you focus your career options, I recommend reaching out to your college's career office. They offer free career interest and personality assessments that can guide you towards jobs that match your skills, interests, and abilities. Finding a career path that aligns with who you are will boost your chances of landing a job that brings you success and happiness.
From my own experience as a Recruitment Manager, I've seen people with your background excel in software testing. There's a big demand for testing software and applications, so it's worth considering.
Best wishes,
Tony
Thank you so much for the advice.
Uti
I actually reached out to my career advisor and she told me to stick with my software development plan. Although I didn't see it, she saw how passionate I truly was about the topic and how I seemed to enjoy the challenge that came with it, however when I take those tests they usually give me public administration or jobs that I don't necessarily wish to take on . My last one said Accountant, auditor, budget analyst and that im' a CIE / CAE . mostly analysts positions
Hailie
Sheetal Aggarwal
Data Engineer, Manager
7
Answers
Tampa, Florida
Updated
Sheetal’s Answer
First of all, congratulations on earning your degree in Computational Mathematics! It's a versatile and valuable field, and your background in programming is a great asset. While transitioning from a non-clinical medical clerk role to a tech-related career can be challenging, there are many paths you can explore. Here are some steps and ideas to help you navigate this transition:
### 1. Assess Your Interests
Since you're unsure of your specific interests, consider exploring various fields to identify what resonates with you. You might enjoy roles that combine mathematics and technology, such as:
- **Data Analysis or Data Science**: These fields involve analyzing data to extract insights, and your mathematical background is a strong fit. Tools like Python, R, or SQL are commonly used.
- **Software Development**: If you enjoyed programming during your studies, consider roles in software engineering. Start by working on small projects to build your portfolio.
- **Machine Learning/AI**: With a background in AI and algorithms, you might find opportunities in machine learning. Platforms like Coursera or edX offer courses to deepen your skills.
- **Operations Research/Optimization**: This field uses mathematical models to solve complex problems, which aligns well with your optimization coursework.
- **Financial Analyst or Quantitative Analyst**: Your math skills can be valuable in finance, where modeling and data analysis are key.
### 2. Skills Development
Enhancing your skill set can improve your employability:
- **Programming Languages**: Strengthen your proficiency in languages like Python, Java, C++, or R, which are widely used in tech fields.
- **Certifications**: Consider earning certifications in areas like data science, machine learning, or software development to demonstrate your skills.
- **Portfolio Projects**: Build a portfolio with personal or open-source projects that showcase your abilities. Platforms like GitHub are great for this.
### 3. Networking and Mentorship
Networking can open doors to job opportunities:
- **Join Professional Groups**: Engage with communities on LinkedIn, or local meetups related to your field of interest.
- **Alumni Networks**: Reach out to your college's alumni network for advice and potential job leads.
- **Informational Interviews**: Conduct interviews with professionals in roles you're interested in to learn more about their career paths and gather advice.
### 4. Job Search Strategies
Focus on roles that value your unique background:
- **Transitional Roles**: Consider starting in roles that bridge your past experience and your desired career, such as healthcare data analyst roles.
- **Entry-Level Positions**: Apply for entry-level positions in tech companies, where you can gain experience and grow.
- **Tailored Applications**: Customize your resume and cover letter to highlight relevant coursework, projects, and skills. Emphasize your programming knowledge and analytical skills.
### 5. Further Education
If you feel additional education might help, consider:
- **Online Courses**: Platforms like Coursera, Udacity, or edX offer courses in various tech subjects.
- **Graduate Programs**: If feasible, a master's degree in a specialized field could enhance your qualifications.
### 6. Stay Positive and Persistent
Finding a job can be a lengthy process, but persistence is key. Keep refining your skills, expanding your network, and applying to roles. Every application and interview is an opportunity to learn and improve.
Remember, your degree provides a strong foundation, and with determination and strategic planning, you can find a rewarding career path that aligns with your skills and interests. Good luck!
### 1. Assess Your Interests
Since you're unsure of your specific interests, consider exploring various fields to identify what resonates with you. You might enjoy roles that combine mathematics and technology, such as:
- **Data Analysis or Data Science**: These fields involve analyzing data to extract insights, and your mathematical background is a strong fit. Tools like Python, R, or SQL are commonly used.
- **Software Development**: If you enjoyed programming during your studies, consider roles in software engineering. Start by working on small projects to build your portfolio.
- **Machine Learning/AI**: With a background in AI and algorithms, you might find opportunities in machine learning. Platforms like Coursera or edX offer courses to deepen your skills.
- **Operations Research/Optimization**: This field uses mathematical models to solve complex problems, which aligns well with your optimization coursework.
- **Financial Analyst or Quantitative Analyst**: Your math skills can be valuable in finance, where modeling and data analysis are key.
### 2. Skills Development
Enhancing your skill set can improve your employability:
- **Programming Languages**: Strengthen your proficiency in languages like Python, Java, C++, or R, which are widely used in tech fields.
- **Certifications**: Consider earning certifications in areas like data science, machine learning, or software development to demonstrate your skills.
- **Portfolio Projects**: Build a portfolio with personal or open-source projects that showcase your abilities. Platforms like GitHub are great for this.
### 3. Networking and Mentorship
Networking can open doors to job opportunities:
- **Join Professional Groups**: Engage with communities on LinkedIn, or local meetups related to your field of interest.
- **Alumni Networks**: Reach out to your college's alumni network for advice and potential job leads.
- **Informational Interviews**: Conduct interviews with professionals in roles you're interested in to learn more about their career paths and gather advice.
### 4. Job Search Strategies
Focus on roles that value your unique background:
- **Transitional Roles**: Consider starting in roles that bridge your past experience and your desired career, such as healthcare data analyst roles.
- **Entry-Level Positions**: Apply for entry-level positions in tech companies, where you can gain experience and grow.
- **Tailored Applications**: Customize your resume and cover letter to highlight relevant coursework, projects, and skills. Emphasize your programming knowledge and analytical skills.
### 5. Further Education
If you feel additional education might help, consider:
- **Online Courses**: Platforms like Coursera, Udacity, or edX offer courses in various tech subjects.
- **Graduate Programs**: If feasible, a master's degree in a specialized field could enhance your qualifications.
### 6. Stay Positive and Persistent
Finding a job can be a lengthy process, but persistence is key. Keep refining your skills, expanding your network, and applying to roles. Every application and interview is an opportunity to learn and improve.
Remember, your degree provides a strong foundation, and with determination and strategic planning, you can find a rewarding career path that aligns with your skills and interests. Good luck!
Sergio Echeverri
mathematics
1
Answer
Miami, Florida
Updated
Sergio’s Answer
First , you should set your goal for your life. For example, you should think about what you are going to become, what you are going to do in the future, and so on.
Secondly, you should think the way how to get it with your ability and tech skills. If the ability and tech skills are not enough to do it, you should learn them quickly.
And if you need some detail information, please contact me.
Secondly, you should think the way how to get it with your ability and tech skills. If the ability and tech skills are not enough to do it, you should learn them quickly.
And if you need some detail information, please contact me.