I have received offers of study for studying M.Sc. in Statistics as well as M.Res. in Advanced Statistics at the University of Glasgow, the UK which will commence in Sep’18. The duration is 1 Year
I have also received an offer of studying M.Sc. in Statistics (By Coursework) at National University of Singapore (NUS) which will commence in Aug’18. The Minimum duration is 2 years
I am from the South Asian Region and I will have to study either of the above-mentioned programmes as a self-funded candidate. As of now, my academic background comprises a Bachelor Degree in Engineering followed by a Masters Degree in the area of Operations Research.
My first objective, after completion of either of the degree programmes, is initially to get a job in the area of Applied Statistics (in the UK or in Singapore) and later, to pursue a Ph.D. degree in the area of Statistics either in US University or in UK University.
So far, following are some information that I happen to know of:
The 1-year UK PG Degree is not recognized as equivalent to degrees
granted by universities in South Asia.
Tuition Fees and Living Costs are very high both in the UK as well as
Presently, getting Jobs in UK Organization is very difficult for
Singapore does have Service Obligation Scheme for International
But, National University of Singapore prioritizes Research-based
Programmes compared to Coursework-based programmes.
So, can you please suggest which of the above-mentioned degree programmes I should pursue, keeping in line with my future objective?
Do US Universities recognizes the 1-year UK PG Degree in order to pursue a Ph.D. degree?
In terms of Research in Statistics, which University fares better – Glasgow University or NUS? If I decide to do Ph.D. later, which University will be a better choice?
Which M.Sc. degree Programme is more mathematically rigorous – is it in Glasgow University or is it in NUS?
Is it better to pursue M.Res. in Advanced Statistics compared to M.Sc. in Statistics at Glasgow University since I already have a Master’s degree?
Individuals who have already studied either of the degree programmes are most welcomed to provide suggestions.
I am currently entering into my 4th semester of PhD research program in engineering with funding for a term up to 5 years from an Indian Institute of Technology. However, I’m looking for opportunites to pursue a master’s degree in psychology side by side, preferably through long distance mode.
What are the up’s and down’s of doing this if somebody could kindly answer, I’d be greatful.
My master thesis was the gratest sh*tshow that ever happened in my life.
Fortunately I did manage to put it all together and submit it. After that I booked a defense date which is tomorrow.
In the meantime, 2 days ago I got the reviews for my master thesis from both professors and I barely passed the written thesis with score of 3.7 (1-Excellent and 5-Fail) with a lot of questions about my approach and structure.
I don’t mind ending with a bad grade as it was not up to the quality.
But, I am now in panic and anxiety for the last few days. I don’t know how I will defend my thesis.
Would anybody guide me how to defend a bad graded thesis?
I am based in Germany. What are my chances that I failed the defense despite passing the written thesis?
My mind is blank at the moment due to anxiety as I did not get enough time to digest my results.
What should be my approch?
I have a specific taught M.Phil in mind, which is definitely not a precursor to a PhD. In fact, strangely, doing a PhD after the course is discouraged since the M.Phil in question is more of a vocational course.
Given that the subject matter of a taught M.Phil could be considered to be ‘science’ what are the criteria for deciding whether a Masters course should be either an M.Phil or an M.Sc?
As far as I understand it, MSc needs to be much more research orientated than BSc where it’s much more relaxed and easygoing ?
I’m asking in the context of Software Development and Computer Science, if it matters.
I accepted an offer to teach a graduate course at the university, as an adjunct professor. This program has a minimum threshold for number of students signed up. In other words if not enough students signed up by the deadline, they won’t offer it.
I wonder how do you advertise the courses that you teach? I think the subject and content will be very interesting to many students, so the question is how to disseminate the information about it to potential students outside the graduate program that it is part of?
It’s a national university in USA, ranked in top 100, not top 20 or Ivy league type. I believe that this course will be available for students of a regional consortium of universities to which this uni belongs. The course is elective, and a part of a small Masters level program, but will be listed in the catalog and should be available to students outside the program. The course is a STEM subject in STEM certified program, so it should be compatible with similar programs
As a professor I was wondering what others have experienced at the College/University regarding credit hours/compensation for teaching MA level vs BA level courses. For example, a 3-credit BA course counts towards 3 credit hours of instruction. A 3-credit MA course may count at 3 credit hours or double (6-credit hours) depending on enrollment. This policy is changing and I am wondering what policies may be in pace elsewhere for comparison. In relation to this – how are professors compensated for mentoring MA thesis students?
Thanks in advance for any feedback that would be helpful while drafting our policy.
Can I do a master’s thesis with exploratory work without any results? It’s like assume some hypotheses about certain data and testing them. If yes, is that a good thing or a bad thing? Can such a work support me as a good Ph.D. student?
If I didn’t publish anything in my master’s level, and I graduated with such a thesis, would that support me or pointing a red flag against my research skills? Add to this, working as a research assistant during my master’s studies. Would anyone appreciate my failed attempts and hard work yet not productive? I’m really a hard worker and I’m doing non-traditional approaches (because traditional techniques don’t advance/”revolutionize” the field) in my research but I don’t have any output. My advisor agrees that we need to do non-traditional approaches to advance our field, but he is pointing out that we need results and to do some baby steps based on a published research. Unfortunately, It’s too late now to publish anything. I also feel that this RA job is something against me when I want to apply for a phd program (maybe in a much better school). Would a person who read my application make a statement like this; “2 years as an RA with a good advisor and no a single publication? furthermore a bad thesis? your application is in the trash dear..”. I also feel that my advisor feels I’m not really a good RA, and if the time came back, he wouldn’t have hired me. Which means that he won’t give me a good recommendation letter and most importantly, I let him down. He was very generous to me and provided me a full scholarship and this RA job because he thought I’m really good, but now he thinks the opposite. For me personally, I do believe that I’m not productive, however, I’m learning a lot and I’m a hard worker.
What is the effect of such a situation on me when I want to apply for a Ph.D. program in one of the very good schools (one of the top 200 schools in the world maybe?)
I am a civil engineering graduate (graduated 2018) trying to break into the analytics field. I graduated from a tier 2 college in my country with an average GPA of 3.0/4.0 (7.5/10.0). I am looking for masters in applied statistics since I have always been interested in mathematics but didn’t have the opportunity to take it up.
I am taking a year off to improve my skill set as well as re-evaluate my options and I realize that I am not interested in Civil engineering and I don’t find it easy to break into this field either without contacts. I have done a project in construction management with AI, optimization techniques, etc. I am good with coding and trying to get certifications for that. But I want to know what skills can make me a strong applicant for a masters in applied statistics with my profile. what should I do?
I am really confused and I will really appreciate any direction I can get.
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