What Will I Learn in an Engineering Bachelor s Program

pcbinary June 27, 2021 0 Comments



Methodology: Ranking the Best Accelerated Engineering Degree Online


The Bachelor’s Degree Center ranking of the best accelerated engineeringdegree programs online begins the same way as every ranking – with accredited,reputable institutions that offer an online or hybrid program in engineeringor engineering technology. In addition, programs had to offer students a wayto complete their degree in a year or less. But speed isn’t everything, soprograms that met the criteria were also ranked according to their alumnisalary, cost, graduation rate, job placement rate, and student satisfaction,using data from IPEDS, College Scorecard, and Niche.

What Will I Learn in an Engineering Bachelor’s Program?


The decision to pursue an engineering bachelor’s degree program requires someunderstanding of the classes you will take over the course of the program. Therequirements for engineering degree programs start with the basics. Collegeclasses for engineering focus on mathematics and science. For example, you canexpect to take advanced mathematics courses like calculus, geometry, andalgebra. You can also expect to take physics and science courses throughoutyour education.Engineering bachelor degree requirements may also break down into specializedcourses as you advance in your degree. For example, you may study chemistrywhen you focus on chemical engineering or you may focus on technology when youplan to work in a technical field. The degree program may also focus onteaching students cross-disciplinary studies with a focus on addressingspecific goals within robotics, technical development, or related subjects.The exact role of an engineer depends on the goals of a company; however, yourdegree will prepare you to handle a variety of industries and goals. You canexpect your degree to offer advanced studies in mathematics, technology, andscience that you need to work in multiple industries and fields of study.Related Rankings: 25 Best Bachelor’s in Engineering Degree Programs 15 Best Online Engineering Degree Bachelor’s Programs 10 Most Affordable Online Engineering Degree Bachelor ProgramsTop 25 Low-Cost Online Colleges in CaliforniaThere are an increasing number of affordable online colleges in California, soto find the right one, you may need to do a little homework–even beforeenrolling in classes. To help lighten the load, we’ve narrowed the options tojust 25 of the best low-cost online options for college students in the state.Most of these schools offer robust distance education programs for bothundergraduate and graduate students, and some offer non-degree certificateprograms as well.

Methodology: Ranking the Best 1 Year Master’s Programs Online


To rank the Top 15 One-Year Online Master’s Programs, BestMastersPrograms.orgdid a wide-ranging search for accredited colleges and universities offeringfully online master’s degrees that could be completed in as little as a year,and no more than 18 months. From our initial pool, editors narrowed down tothe top 15, ranking programs by three metrics: * Cost (IPEDS data) * Reputation (NICHE review score) * Alumni Salary (College Scorecard data)With these criteria, Best Master’s Programs has determined the quickestmaster’s degree online programs that also have the power to provide a realreturn on investment and a long-term career. For another way of looking atvalue, see BMP’s ranking of the Most Affordable Master’s Programs.

6. Benedictine University Online


Benedictine University Online’s online Master of Business Administration (MBA)can be finished in just 18 months by following an accelerated online master’sprogram. BUO’s MBA degree prepares graduates for leadership roles; ready toface the 21st century business challenges. The MBA degree offered byBenedictine University Online can be earned by completing one course eachsemester or by completing two courses each semester, for those students whowish to fast track their degree. The MBA program permits course waivers forprevious earned credits.Benedictine University was established in 1887. The university maintainslocations in Illinois, Arizona, Vietnam, China, and cyberspace. Approximately85% of online students continue to work full-time. Benedictine UniversityOnline maintains an accreditation with the Higher Learning Commission, and itsonline programs have been widely cited among the best in the US. MBA onlinegraduates are prepared to succeed in a variety of industries across the globe.The master’s degree program selected determines the tuition costs, and astudent’s level of preparation determines the quickest master’s degree online.Degrees:How Fast?: 18 months

Are Accelerated Online Master’s Programs Harder than Traditional Programs?


The best accelerated online master’s programs follow the exact same curriculumas their brick and mortar counterpart. While the speed and intensity may be achallenge to some students, in other ways, the 1 year master’s degree programsare actually easier to manage because they provide students with flexiblescheduling and ‘round-the-clock access. 1 year master’s programs online workon a faster paced schedule – 8 or 16 week semesters – on a continuous loopyear round. Distance-learning electronic platforms offer distance learnersaccess to course materials and assistance, 24 hour a day, 7 days a week, 365days per year.Note: Admission requirements for some of the shortest master’s degree programsmay differ from the more traditional graduate degree program formats.

Where Can I Find One Year MBA Programs Online?


Online Master of Business programs are available by most business schools inthe country and, across the globe. Ivy League universities as well as localcommunity colleges offer their version of an accelerated online master’sprogram. Online access to an MBA degree program offers convenience,flexibility which is a viable option for busy working professionals. Onlinedegrees are easily searched online using your favorite browser, with just oneclick.Related Articles: Top 25 Online Master’s Programs 25 Most Affordable Online Master’s Programs How Fast Can You Get a Master’s Degree?30 Online Schools With The Highest Graduation Rates for 2020How much do graduation rates really matter? Many studies have been done basedon this question with varying results. Though how much graduation rate matterscontinues to remain under discussion, the fact that they do matter, at leastto some extent, seems to be a constant result in each study. As schools putmore money and time into marketing, they may be neglecting the oversight thatis needed academically to ensure a good quality of education for the studentsthat choose their school over another. Other factors of high graduation ratesinclude peer influence, low cost and income level. When looking for an onlineschool that will keep you going, considering the graduation rate is one ofseveral important aspects to look for.Here, then, is our list of the top 30 online schools with the highestgraduation rates!

Northeastern University, USA World Ranking Highlights


* Academic Ranking of World University (ARWU) ranks 201-300 in world Universities Ranking and Nationally ranked 66-94 by the year 2019-2020. * The Times Higher Education (THE) Ranks 176 in Best Universities in world by 2021, 86 in US ranking. * QS in World Universities Ranking Ranks 362, 54 in US Universities & ranks 201-250 in Graduate Employability Ranking 2020-21. * US News Ranks 177 in Best Global Universities Ranking and 49th in National Universities. * The Center for World Universities Ranking (CWUR) ranks 319 and National Rank 106 in 2020-2021. * The Webometrics are measurements made at six-monthly intervals by Spanish Centro Superior de Investigaciones Científicas (CSIC) ranks 182 in 2020. * According to Forbes ranked 182 in Top colleges 2019.

Northeastern University Times Higher Education Ranking 2021


The British magazine Times Higher Education (THE) publishes a ranking of bestuniversities in the world. This ranking uses a weighting of 38.5% for Scopusdata (citations [30%], productivity [6%] and international cooperation[2.5%]), 33% for reputation and 28.5% for self-reported figures (numbers ofstaff, students and PhDs awarded [17.5%] and income [11%]).The Times HigherEducation (THE) Ranks Northeastern University at 176 in Best Universities inworld and 86 in US Ranking for 2021.

Northeastern University Webometrics Ranking


The Webometrics is compiled on the basis of measurements made at six-monthlyintervals by the Spanish Centro Superior de Investigaciones Científicas(CSIC).University’s performance is measured on the basis of website activitiesand results, and on the impact and relevance of such activities and results.According to the measurement made in January 2020, the Northeastern Universityof USA ranks 182nd in the world and 90th in Country and 100 in the Continent.

Analytics / Data Science Programs by Top Universities in the US


Having understood the key parameters we should keep in mind while evaluating amasters program, lets consider some of the good programs that I came acrosswhile applying for my masters.For a better view, I’ve provided ranking to these universities on 4 parametersnamely Mathematics, Statistics, Computer Science and Business based on USNews.Therefore, for you to decide which is better, you would have to weight theseparameters accordingly. For example, if you think that you are good atmathematics but not computer science, choose the programs with a higherconcentration on mathematics in the curriculum.Columbia University is located in the heart of New York city. Being an IvyLeague institution, there are no questions about its reputation. The MSprogram is being run by the Data Science Institute at Columbia. The studentshave access to courses from all the top programs at the institute. The generalcourse duration is 16 months,i.e. 3 semesters of study and an internshipsemester. * Curriculum: * Courses worth 30 credits are required to be completed and most of the graduate level courses are 3 credits each. * It consists of 6 core courses covering the essentials of computer science, probability, statistics and machine learning. * There is a capstone project in the last semester. * Remaining 3 courses can be taken as electives from across the university. * Practical Training: * These come in the form of an internship semester and capstone project. * Additionally, the Columbia Data Science Society organizes workshops and other events where you can get ample opportunities to interact and solve problems with your peers. * The city of New York has a strong data science community which will offer many opportunities to apply data science knowledge. * Industrial Collaboration & Research Opportunities: * The data science institute runs 7 research centers which run some good research projects which can help students get a working knowledge of data science * Since the department consists of professors from various departments including computer science, statistics, business, civil, etc. there are ample research opportunities available. * Industry collaborations work in terms of sponsored research projects as well career development center which organizes career fairs, tech talks, etc. * Rankings: * Business: 10 * Computer Science: 15 * Statistics: 20 * Mathematics: 9Conclusion: The program provides a good foundation in machine learning andprogramming along with practical experience. Moreover Columbia is ranked intop 20 in all the domains related to data science making it a good choice. Onedrawback of the program could be that the curriculum is a bit inclined towardsprogramming and more technical in nature than few other programs, which aremore business oriented.NYU is located in New York city and is fairly reputed. The MS program is beingrun by the Center for Data Science at NYU. The students have access to coursesfrom a wide range of departments including statistics, AI, bio-statistics,business, economics, psychology etc. The course can be completed in 3 or 4semesters, depending on the choice of students. * Curriculum: * 12 courses worth 36 credits are required to be completed. * It consists of 6 core courses covering the essentials of statistics and machine learning and a capstone project in the last semester. * Remaining 6 courses can be taken as electives from a wide pool of domains which can be found here. This course has a unique structure offering 50% of the courses as electives which is rarely seen in courses. * Practical Training: * These come in the form of an internship semester and a capstone project. * It has a similar location advantage of being in New York City as Columbia university. As said above, NYC’s strong data science community offers ample opportunities of applying data science knowledge. * Industrial Collaboration & Research Opportunities: * Since the program consists of electives from various departments including computer science, statistics, business, civil, etc. there are ample research opportunities available. You can get some idea about the research projects here. * The department conducts workshops, tech talks and other events in collaboration with industry professionals. Details about those events can be found on the program website. * Rankings: * Business: 20 * Computer Science: 29 * Statistics: 49 * Mathematics: 9Conclusion: This program will provided a strong foundation in machine learningand ample experience in a particular domain through the 6 electives courses.NYU might lack slightly in terms of the departmental rankings but the programstructure and location of NYC will definitelyCarnegie Mellon University (CMU) is one of the topmost universities forresearch in computer science. It’s CS department also run few specializedmasters programs.These programs focus on one core domain, have higher tuition fee and offers noassistance. They treat them as cash cow programs but students benefit from thehigh quality pedagogy. MSCDS is one such program. It spans over 16 months with3 semesters of study and an internship semester. * Curriculum: * There are 2 concentration to choose from – Analytics or Systems. * Analytics will focus on machine learning aspect and Systems will focus on big data and computational aspects. * Total 8 unit-courses, 2 seminar courses and 1 capstone project is required to complete the course. * Out of the 8 unit-courses, 3 are electives which can be taken from the Department of Computer Science. * Practical Training: * These come in the form of an internship semester, seminar courses and capstone project. * The location of Pittsburg is a definite disadvantage but the brand name of CMU is too big for it to have an impact on the internship or job search. Obviously, relocation could be a potential challenge. * Industrial Collaboration & Research Opportunities: * This is a coursework oriented program and the research/industrial collaboration opportunities come from sponsored capstone projects. * The institute also helps in acquiring internships and job opportunities. * Rankings: * Business: 18 * Computer Science: 1 * Statistics: 9 * Mathematics: 34Conclusion: This is a CS oriented program and ideal for people with somecoding experience who want to get into machine learning. The drawback beingthat the business side of the program is weak and you should not expectgetting some domain experience like finance/healthcare. It is better suitedfor software engineering roles rather than data scientist roles.This is another program like 3 offered by the Machine Learning Department inthe dept of CS at CMU. The core idea is the same except for a couple ofchanges: * It is solely based on ML and is more mathematical nature. Covers theoretical ML at a broader level. * There are only 2 elective courses and 1 final project. No seminar courses like above. * The tuition fee is slightly less.This would also prepare you for software engineering or research roles. Youshould choose this if you have a theoretical bent of mind and would like topursue a doctorate (Ph.D) after masters.This interdisciplinary masters program is being run by McCormick(engineering), Kellogg (management) and Medill (journalism) schools at NWUalong with industry professionals in the Chicago area. It’s a 15 month programwith a 10 week internship. * Curriculum: * The curriculum consists of 14 courses, 18-month industry practicum and 1 capstone project. * Only 2 courses out of the 14 are electives and that too from a small pool. So, the curriculum is more or less fixed. One of the reasons for a stringent curriculum is small batch size of just 35. This is a big advantage in terms of interactions and learning during the program. * The courses touches upon crucial aspects of analytics including statistics, programming, databases, optimization with a focus on industry applications. * Practical Training: * The course is heavy on practical training which start with an 8-month industry project running across the first 3 quarters. This project is organized in collaboration with an industry partner. * There is an internship in the summer and a capstone project in the final quarter. * The location of Chicago is a definite disadvantage in terms of the local opportunities, but NWU strives hard to get industrial connections to cover up this disadvantage. * Industrial Collaboration & Research Opportunities: * The coursework is rich in industrial exposure as a plethora of activities like workshops, tech talks are conducted. * Both practicum and capstone projects are industry sponsored. * The program has no inclination towards research and you should not go there expecting any. * The institute also helps in acquiring internships and job opportunities. * Rankings: * Business: 5 * Computer Science: 34 * Statistics: 49 * Mathematics: 17Conclusion: This program is designed for people working in a particular domainwho want to understand analytics and its applications in different industries.It is not designed for techies who want to incorporate machine learningalgorithms in their software. The program makes heavy use of the industryconnections coming from Kellogg School of Management, which is one of the mostreputed management institution of the world.This interdisciplinary program is run jointly by the College of Engineering,Business and Computing at GaTech. Its a 1 year program and covers the fall,spring and summer semesters. * Curriculum: * The program is designed in the form of 3 tracks – Analytics Tools, Business Analytics and Computational Data Analytics. The details can be found here. * Each track covers statistics, operational research and computing courses. The number of courses of each type differ by track. * There is a fair share of electives which depend on the chosen track. In general, there are 5 core courses and 5 electives. * Practical Training: * The program is typically a coursework based culminating into 2 capstone projects in the summer semester or an internship, if approved by the faculty. * The location of Georgia is a definite disadvantage in terms of the local opportunities, but there are still some meetup groups and online hackathon events which you can attend. * Industrial Collaboration & Research Opportunities: * The capstone projects undertaken are in collaboration with the industry. * Some guest lectures and tech talks are also organized. * The program has no inclination towards research and you should not go there expecting any. * The institute also helps in acquiring internships and job opportunities. * Rankings: * Business: 34 * Computer Science: 9 * Industrial and Systems Engineering: 1 * Mathematics: 29Conclusion: This is a typical coursework based program. One drawback could bethe choice between a capstone and internship. Also, the short duration of theprogram will put additional academic burden and restricts the networkingopportunities. The positives are in terms of GaTech’s brand name and theinvolvement of operations research courses in which GaTech is one of the bestinstitutes.This program is managed by the Institute of Advanced Analytics at NCSU and isthe first analytics program started way back in 2007.Most of the other programs are 2-4 years old and thus lack recognition. ButNCSU is a highly reputed program in the analytics industry, even though NCSUas a whole is considered a tier 2 institution. This is a 10-month intensiveprogram, with 3 semesters starting in the summer and ending in spring.Moreover, GRE score is not required for application, only TOEFL is required. * Curriculum: * The curriculum exposes students to a wide spectrum of topics which can be found here. * The program ends with an industry sponsored capstone project. * The curriculum focuses on mathematics and statistics and covers many statistical techniques. * Practical Training: * The program is a typical coursework based with 2 practical courses. There is no option of an internship. * The location of North Carolina is not rick in local opportunities in data science, but the course is intensive enough to keep students exhausted during the 10 months. * Industrial Collaboration & Research Opportunities * The capstone projects are in collaboration with the industry. * Some guest lectures and tech talks are also organized. * The program has no inclination towards research and you should not go there expecting any. * The institute also helps in acquiring internships and job opportunities. * Rankings: * Business: 52 * Computer Science: 48 * Statistics: 15 * Mathematics: 52Conclusion: NCSU is a well reputed program with good future prospects. Itprepare candidates well for data scientist roles as it exposes them to a widespectrum of analytics techniques. Strong mathematics and statisticsfundamentals are required to get into this program and you should apply onlyif you are confident about the same.The masters program at TAMU is offered by the department of statistics andit’s a part-time program for working professionals. The program website is notmuch informative but TAMU as an institution has a decent reputation in theindustry. Being a part time program, it is spread over 5 semesters. * Curriculum: * The curriculum consists of 12 courses, details of which can be found here. * The program ends with an industry sponsored capstone project. * There are only 2 elective courses. * The curriculum has a focus on statistics with applications in finance and marketing. * Practical Training: * The program is typically coursework based with a capstone project and a seminar with oral presentation. * There is focus on SAS programming which prepares you well for the industry. * Industrial Collaboration & Research Opportunities * Being a part time program, there is no focus on research. * The program’s advisory body is made up of industry professionals so the program runs hand-in-hand with the requirements in the industry. * TAMU organizes some other events as well like the Analytics 2015 conference. * Rankings: * Business: 31 * Computer Science: 40 * Statistics: 15 * Mathematics: 41Overall, it is a decent program and designed specifically for workingprofessionals.This is a 1 year program which commences in the spring semester and continuesin summer and fall with graduation in December. The course prepares studentsfor data scientist roles in industries such as consulting, automotive,consumer products, retail, and financial services. * Curriculum: * The curriculum consists of 12 courses, details of which can be found here. * There are only no elective courses as all courses are pre-defined. * The summer semester has workload of only 2 courses and in addition a capstone project of a 10-12 week internship can be completed in that period. * Practical Training: * The program is typically coursework based with an option of capstone project or an internship. * Industrial Collaboration & Research Opportunities * It’s a typical coursework based program with no attention on research. * The capstone projects are conducted in collaboration with an industry partner. * University organizes internship and job fairs as well. * Rankings: * Business: 35 * Computer Science: 56 * Statistics: 47 * Mathematics: 46Conclusion: This is a good program and if you like the fixed curriculum, itmight work out. Also, since Michigan State University is not as reputed assome other universities mentioned here, it might be easier to get in.This is another 1 year program commencing in fall, with a more or less fixedcurriculum. It prepares the candidates for business analyst and data scientistpositions. * Curriculum: * The curriculum consists of 12 courses, details of which can be found here. * The program ends with an industry sponsored capstone project. * There are only 2 elective courses. * Practical Training: * The program is typically coursework based with a capstone project. * The location of Cincinnati also doesn’t offer a vibrant data science community to take advantage from. * Industrial Collaboration & Research Opportunities * The program has no focus on research. * List most other courses, industry collaborations are in the form of job fairs, tech talks and sponsored capstone. * Rankings: * Business: 63 * Computer Science: 112 * Statistics: – * Mathematics: 115Conclusion: This is a slightly less reputed university with a decent programwhich should be comparatively easier to get through. But you should becomfortable with the curriculum before you think about taking it up.

Online Master’s in Engineering + No GRE Options


Featured Programs: * Southern New Hampshire University SNHU: Choose from over 200 online graduate programs offered by this non-profit, accredited university. NO GMAT or GRE required! SNHU has a tradition of excellence and a proven success rate – 95 percent of their students are employed upon graduation. * Johns Hopkins University – Carey School of Business: Online Master of Business Administration. * George Mason University: Master of Business Administration (MBA) Online. * Babson College: MBAs and Other Business Programs for Working Professionals .

Masters in Engineering Course Requirements


Some of the common classes you will need to complete an engineering degree,depending on your area of concentration, include: * Operations research * Sustainable development * Mathematics and modeling * Economics and engineering * Finance * Research methods and strategies * Environmental processes

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